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<a class="navbar-brand" href="NeuralNet-bs.html">Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning and convolutional networks</a>
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<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
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<ul class="dropdown-menu">
|
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<!-- navigation toc: --> <li><a href="._NeuralNet-bs001.html#___sec0" style="font-size: 80%;"><b>Neural networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs002.html#___sec1" style="font-size: 80%;"><b>Artificial neurons</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs003.html#___sec2" style="font-size: 80%;"><b>Neural network types</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs004.html#___sec3" style="font-size: 80%;"><b>Feed-forward neural networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs005.html#___sec4" style="font-size: 80%;"><b>Convolutional Neural Network</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs006.html#___sec5" style="font-size: 80%;"><b>Recurrent neural networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs007.html#___sec6" style="font-size: 80%;"><b>Other types of networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs008.html#___sec7" style="font-size: 80%;"><b>Multilayer perceptrons</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs009.html#___sec8" style="font-size: 80%;"><b>Why multilayer perceptrons?</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs010.html#___sec9" style="font-size: 80%;"><b>Mathematical model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs011.html#___sec10" style="font-size: 80%;"><b>Mathematical model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs012.html#___sec11" style="font-size: 80%;"><b>Mathematical model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs013.html#___sec12" style="font-size: 80%;"><b>Mathematical model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs014.html#___sec13" style="font-size: 80%;"><b>Mathematical model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs015.html#___sec14" style="font-size: 80%;"> Matrix-vector notation</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs016.html#___sec15" style="font-size: 80%;"> Matrix-vector notation and activation</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs017.html#___sec16" style="font-size: 80%;"> Activation functions</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs018.html#___sec17" style="font-size: 80%;"> Activation functions, Logistic and Hyperbolic ones</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs019.html#___sec18" style="font-size: 80%;"> Relevance</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs020.html#___sec19" style="font-size: 80%;"><b>The multilayer perceptron (MLP)</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs021.html#___sec20" style="font-size: 80%;"><b>From one to many layers, the universal approximation theorem</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs022.html#___sec21" style="font-size: 80%;"><b>Deriving the back propagation code for a multilayer perceptron model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs023.html#___sec22" style="font-size: 80%;"><b>Definitions</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs024.html#___sec23" style="font-size: 80%;"><b>Derivatives and the chain rule</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs025.html#___sec24" style="font-size: 80%;"><b>Derivative of the cost function</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs026.html#___sec25" style="font-size: 80%;"><b>Bringing it together, first back propagation equation</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs027.html#___sec26" style="font-size: 80%;"><b>Derivatives in terms of \( z_j^L \)</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs028.html#___sec27" style="font-size: 80%;"><b>Bringing it together</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs029.html#___sec28" style="font-size: 80%;"><b>Final back propagating equation</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs030.html#___sec29" style="font-size: 80%;"><b>Setting up the Back propagation algorithm</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs031.html#___sec30" style="font-size: 80%;"><b>Setting up a Multi-layer perceptron model for classification</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs032.html#___sec31" style="font-size: 80%;"><b>Defining the cost function</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs033.html#___sec32" style="font-size: 80%;"><b>Example: binary classification problem</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs034.html#___sec33" style="font-size: 80%;"><b>The Softmax function</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs035.html#___sec34" style="font-size: 80%;"><b>Developing a code for doing neural networks with back propagation</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs036.html#___sec35" style="font-size: 80%;"><b>Collect and pre-process data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs037.html#___sec36" style="font-size: 80%;"><b>Train and test datasets</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs038.html#___sec37" style="font-size: 80%;"><b>Define model and architecture</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs039.html#___sec38" style="font-size: 80%;"><b>Layers</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs040.html#___sec39" style="font-size: 80%;"><b>Weights and biases</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs041.html#___sec40" style="font-size: 80%;"><b>Feed-forward pass</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs042.html#___sec41" style="font-size: 80%;"><b>Matrix multiplications</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs043.html#___sec42" style="font-size: 80%;"><b>Choose cost function and optimizer</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs044.html#___sec43" style="font-size: 80%;"><b>Optimizing the cost function</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs045.html#___sec44" style="font-size: 80%;"><b>Regularization</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs046.html#___sec45" style="font-size: 80%;"><b>Matrix multiplication</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs047.html#___sec46" style="font-size: 80%;"><b>Improving performance</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs048.html#___sec47" style="font-size: 80%;"><b>Full object-oriented implementation</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs049.html#___sec48" style="font-size: 80%;"><b>Evaluate model performance on test data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs050.html#___sec49" style="font-size: 80%;"><b>Adjust hyperparameters</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs051.html#___sec50" style="font-size: 80%;"><b>Visualization</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs052.html#___sec51" style="font-size: 80%;"><b>scikit-learn implementation</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs053.html#___sec52" style="font-size: 80%;"><b>Visualization</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs054.html#___sec53" style="font-size: 80%;"><b>Building neural networks in Tensorflow and Keras</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs055.html#___sec54" style="font-size: 80%;"><b>Tensorflow</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs056.html#___sec55" style="font-size: 80%;"><b>Collect and pre-process data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs057.html#___sec56" style="font-size: 80%;"><b>Using TensorFlow backend</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs058.html#___sec57" style="font-size: 80%;"><b>Optimizing and using gradient descent</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs059.html#___sec58" style="font-size: 80%;"><b>Using Keras</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs060.html#___sec59" style="font-size: 80%;"><b>Which activation function should I use?</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs061.html#___sec60" style="font-size: 80%;"><b>Is the Logistic activation function (Sigmoid) our choice?</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs062.html#___sec61" style="font-size: 80%;"><b>The derivative of the Logistic funtion</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs063.html#___sec62" style="font-size: 80%;"><b>The RELU function family</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs064.html#___sec63" style="font-size: 80%;"><b>Which activation function should we use?</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs065.html#___sec64" style="font-size: 80%;"><b>A top-down perspective on Neural networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs066.html#___sec65" style="font-size: 80%;"><b>Limitations of supervised learning with deep networks</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs067.html#___sec66" style="font-size: 80%;"><b>Convolutional Neural Networks (recognizing images)</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs068.html#___sec67" style="font-size: 80%;"><b>Regular NNs don’t scale well to full images</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs069.html#___sec68" style="font-size: 80%;"><b>3D volumes of neurons</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs070.html#___sec69" style="font-size: 80%;"><b>Layers used to build CNNs</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs071.html#___sec70" style="font-size: 80%;"><b>Transforming images</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs072.html#___sec71" style="font-size: 80%;"><b>CNNs in brief</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs073.html#___sec72" style="font-size: 80%;"><b>CNNs in more detail, building convolutional neural networks in Tensorflow and Keras</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs074.html#___sec73" style="font-size: 80%;"><b>Setting it up</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs075.html#___sec74" style="font-size: 80%;"><b>The MNIST dataset again</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs076.html#___sec75" style="font-size: 80%;"><b>Strong correlations</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs077.html#___sec76" style="font-size: 80%;"><b>Layers of a CNN</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs078.html#___sec77" style="font-size: 80%;"><b>Systematic reduction</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs079.html#___sec78" style="font-size: 80%;"><b>Prerequisites: Collect and pre-process data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs080.html#___sec79" style="font-size: 80%;"><b>Importing Keras and Tensorflow</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs081.html#___sec80" style="font-size: 80%;"><b>Using TensorFlow backend</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs082.html#___sec81" style="font-size: 80%;"><b>Train the model</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs083.html#___sec82" style="font-size: 80%;"><b>Visualizing the results</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs084.html#___sec83" style="font-size: 80%;"><b>Running with Keras</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs085.html#___sec84" style="font-size: 80%;"><b>Final part</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs086.html#___sec85" style="font-size: 80%;"><b>Final visualization</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._NeuralNet-bs087.html#___sec86" style="font-size: 80%;"><b>Fun links</b></a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</div> <!-- end of navigation bar -->
|
||||
|
||||
<div class="container">
|
||||
|
||||
<p> </p><p> </p><p> </p> <!-- add vertical space -->
|
||||
|
||||
<a name="part0000"></a>
|
||||
<!-- ------------------- main content ---------------------- -->
|
||||
|
||||
|
||||
|
||||
<div class="jumbotron">
|
||||
<center><h1>Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning and convolutional networks</h1></center> <!-- document title -->
|
||||
|
||||
<p>
|
||||
<!-- author(s): Morten Hjorth-Jensen -->
|
||||
|
||||
<center>
|
||||
<b>Morten Hjorth-Jensen</b> [1, 2]
|
||||
</center>
|
||||
|
||||
<p>
|
||||
<!-- institution(s) -->
|
||||
|
||||
<center>[1] <b>Department of Physics, University of Oslo</b></center>
|
||||
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
||||
<br>
|
||||
<p>
|
||||
<center><h4>Oct 19, 2018</h4></center> <!-- date -->
|
||||
<br>
|
||||
<p>
|
||||
|
||||
|
||||
<p><a href="._NeuralNet-bs001.html" class="btn btn-primary btn-lg">Read »</a></p>
|
||||
|
||||
|
||||
</div> <!-- end jumbotron -->
|
||||
|
||||
<p>
|
||||
<!-- navigation buttons at the bottom of the page -->
|
||||
<ul class="pagination">
|
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<li class="active"><a href="._NeuralNet-bs000.html">1</a></li>
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<li><a href="._NeuralNet-bs001.html">2</a></li>
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<li><a href="._NeuralNet-bs002.html">3</a></li>
|
||||
<li><a href="._NeuralNet-bs003.html">4</a></li>
|
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<li><a href="._NeuralNet-bs004.html">5</a></li>
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<li><a href="">...</a></li>
|
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<li><a href="._NeuralNet-bs087.html">88</a></li>
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<li><a href="._NeuralNet-bs001.html">»</a></li>
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|
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</div> <!-- end container -->
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<!-- include javascript, jQuery *first* -->
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||||
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script>
|
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<script src="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/js/bootstrap.min.js"></script>
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||||
<!-- Bootstrap footer
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||||
<footer>
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||||
<a href="http://..."><img width="250" align=right src="http://..."></a>
|
||||
</footer>
|
||||
-->
|
||||
|
||||
|
||||
<center style="font-size:80%">
|
||||
<!-- copyright --> © 1999-2018, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
|
||||
</center>
|
||||
|
||||
|
||||
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|
||||
</html>
|
||||
|
||||
|
||||
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-44
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|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} import necessary packages}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{numpy} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{np}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{matplotlib.pyplot} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{plt}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn} \PYGdefault{k+kn}{import} \PYGdefault{n}{datasets}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} ensure the same random numbers appear every time}
|
||||
\PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{seed}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} display images in notebook}
|
||||
\PYGdefault{o}{\PYGdefaultZpc{}}\PYGdefault{n}{matplotlib} \PYGdefault{n}{inline}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{rcParams}\PYGdefault{p}{[}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}figure.figsize\PYGdefaultZsq{}}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{12}\PYGdefault{p}{,}\PYGdefault{l+m+mi}{12}\PYGdefault{p}{)}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} download MNIST dataset}
|
||||
\PYGdefault{n}{digits} \PYGdefault{o}{=} \PYGdefault{n}{datasets}\PYGdefault{o}{.}\PYGdefault{n}{load\PYGdefaultZus{}digits}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} define inputs and labels}
|
||||
\PYGdefault{n}{inputs} \PYGdefault{o}{=} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{images}
|
||||
\PYGdefault{n}{labels} \PYGdefault{o}{=} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{target}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}inputs = (n\PYGdefaultZus{}inputs, pixel\PYGdefaultZus{}width, pixel\PYGdefaultZus{}height) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}labels = (n\PYGdefaultZus{}inputs) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{labels}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} flatten the image}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} the value \PYGdefaultZhy{}1 means dimension is inferred from the remaining dimensions: 8x8 = 64}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{inputs} \PYGdefault{o}{=} \PYGdefault{n}{inputs}\PYGdefault{o}{.}\PYGdefault{n}{reshape}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{,} \PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}X = (n\PYGdefaultZus{}inputs, n\PYGdefaultZus{}features) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} choose some random images to display}
|
||||
\PYGdefault{n}{indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{random\PYGdefaultZus{}indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{choice}\PYGdefault{p}{(}\PYGdefault{n}{indices}\PYGdefault{p}{,} \PYGdefault{n}{size}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{image} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{images}\PYGdefault{p}{[}\PYGdefault{n}{random\PYGdefaultZus{}indices}\PYGdefault{p}{]):}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{n}{i}\PYGdefault{o}{+}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{axis}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}off\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{imshow}\PYGdefault{p}{(}\PYGdefault{n}{image}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{cm}\PYGdefault{o}{.}\PYGdefault{n}{gray\PYGdefaultZus{}r}\PYGdefault{p}{,} \PYGdefault{n}{interpolation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}nearest\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Label: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}d}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{target}\PYGdefault{p}{[}\PYGdefault{n}{random\PYGdefaultZus{}indices}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{]])}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-3
@@ -1,3 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{pip3} \PYGdefault{n}{install} \PYGdefault{n}{keras}
|
||||
\end{Verbatim}
|
||||
-32
@@ -1,32 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} visual representation of grid search}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} uses seaborn heatmap, could probably do this in matplotlib}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{seaborn} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{sns}
|
||||
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{set}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{n}{CNN} \PYGdefault{o}{=} \PYGdefault{n}{CNN\PYGdefaultZus{}tf}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}
|
||||
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Training Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-17
@@ -1,17 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.models} \PYGdefault{k+kn}{import} \PYGdefault{n}{Sequential}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.layers} \PYGdefault{k+kn}{import} \PYGdefault{n}{Dense}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.regularizers} \PYGdefault{k+kn}{import} \PYGdefault{n}{l2}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.optimizers} \PYGdefault{k+kn}{import} \PYGdefault{n}{SGD}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}neural\PYGdefaultZus{}network\PYGdefaultZus{}keras}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{model} \PYGdefault{o}{=} \PYGdefault{n}{Sequential}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Dense}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{,} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}sigmoid\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{kernel\PYGdefaultZus{}regularizer}\PYGdefault{o}{=}\PYGdefault{n}{l2}\PYGdefault{p}{(}\PYGdefault{n}{lmbd}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Dense}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{,} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}sigmoid\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{kernel\PYGdefaultZus{}regularizer}\PYGdefault{o}{=}\PYGdefault{n}{l2}\PYGdefault{p}{(}\PYGdefault{n}{lmbd}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Dense}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}softmax\PYGdefaultZsq{}}\PYGdefault{p}{))}
|
||||
|
||||
\PYGdefault{n}{sgd} \PYGdefault{o}{=} \PYGdefault{n}{SGD}\PYGdefault{p}{(}\PYGdefault{n}{lr}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{compile}\PYGdefault{p}{(}\PYGdefault{n}{loss}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}categorical\PYGdefaultZus{}crossentropy\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{optimizer}\PYGdefault{o}{=}\PYGdefault{n}{sgd}\PYGdefault{p}{,} \PYGdefault{n}{metrics}\PYGdefault{o}{=}\PYGdefault{p}{[}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}accuracy\PYGdefaultZsq{}}\PYGdefault{p}{])}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{model}
|
||||
\end{Verbatim}
|
||||
-102
@@ -1,102 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k}{class} \PYGdefault{n+nc}{NeuralNetwork}\PYGdefault{p}{:}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf+fm}{\PYGdefaultZus{}\PYGdefaultZus{}init\PYGdefaultZus{}\PYGdefaultZus{}}\PYGdefault{p}{(}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}data}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{Y\PYGdefaultZus{}data}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{50}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{100}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{l+m+mf}{0.0}\PYGdefault{p}{,}
|
||||
|
||||
\PYGdefault{p}{):}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}data\PYGdefaultZus{}full} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}data}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}data\PYGdefaultZus{}full} \PYGdefault{o}{=} \PYGdefault{n}{Y\PYGdefaultZus{}data}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}data}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}features} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}data}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{]}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons} \PYGdefault{o}{=} \PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{n}{n\PYGdefaultZus{}categories}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{n}{epochs}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{n}{batch\PYGdefaultZus{}size}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{iterations} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{//} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{=} \PYGdefault{n}{eta}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd} \PYGdefault{o}{=} \PYGdefault{n}{lmbd}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}biases\PYGdefaultZus{}and\PYGdefaultZus{}weights}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}biases\PYGdefaultZus{}and\PYGdefaultZus{}weights}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{randn}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}features}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{l+m+mf}{0.01}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{randn}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{l+m+mf}{0.01}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{feed\PYGdefaultZus{}forward}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} feed\PYGdefaultZhy{}forward for training}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}data}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}o} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias}
|
||||
|
||||
\PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}o}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{/} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{exp\PYGdefaultZus{}term}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{n}{keepdims}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{feed\PYGdefaultZus{}forward\PYGdefaultZus{}out}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,} \PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} feed\PYGdefaultZhy{}forward for output}
|
||||
\PYGdefault{n}{z\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
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|
||||
\PYGdefault{n}{z\PYGdefaultZus{}o} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias}
|
||||
|
||||
\PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}o}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{/} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{exp\PYGdefaultZus{}term}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{n}{keepdims}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{probabilities}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{backpropagation}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{error\PYGdefaultZus{}output} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{probabilities} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}data}
|
||||
\PYGdefault{n}{error\PYGdefaultZus{}hidden} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{)} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{*} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{1} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{,} \PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}data}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{,} \PYGdefault{n}{error\PYGdefaultZus{}hidden}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}hidden}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{if} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd} \PYGdefault{o}{\PYGdefaultZgt{}} \PYGdefault{l+m+mf}{0.0}\PYGdefault{p}{:}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{+=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{+=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}weights\PYGdefaultZus{}gradient}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{output\PYGdefaultZus{}bias\PYGdefaultZus{}gradient}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}weights\PYGdefaultZus{}gradient}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{hidden\PYGdefaultZus{}bias\PYGdefaultZus{}gradient}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{predict}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,} \PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{feed\PYGdefaultZus{}forward\PYGdefaultZus{}out}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{argmax}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{predict\PYGdefaultZus{}probabilities}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,} \PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{feed\PYGdefaultZus{}forward\PYGdefaultZus{}out}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{probabilities}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{train}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{data\PYGdefaultZus{}indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{epochs}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{iterations}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} pick datapoints with replacement}
|
||||
\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{choice}\PYGdefault{p}{(}
|
||||
\PYGdefault{n}{data\PYGdefaultZus{}indices}\PYGdefault{p}{,} \PYGdefault{n}{size}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{replace}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{False}
|
||||
\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} minibatch training data}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}data} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}data\PYGdefaultZus{}full}\PYGdefault{p}{[}\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints}\PYGdefault{p}{]}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}data} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}data\PYGdefaultZus{}full}\PYGdefault{p}{[}\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{feed\PYGdefaultZus{}forward}\PYGdefault{p}{()}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{backpropagation}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-13
@@ -1,13 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.utils} \PYGdefault{k+kn}{import} \PYGdefault{n}{to\PYGdefaultZus{}categorical}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn.model\PYGdefaultZus{}selection} \PYGdefault{k+kn}{import} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} one\PYGdefaultZhy{}hot representation of labels}
|
||||
\PYGdefault{n}{labels} \PYGdefault{o}{=} \PYGdefault{n}{to\PYGdefaultZus{}categorical}\PYGdefault{p}{(}\PYGdefault{n}{labels}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} split into train and test data}
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mf}{0.8}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{1} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n}{train\PYGdefaultZus{}size}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{,} \PYGdefault{n}{labels}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{p}{)}
|
||||
\end{Verbatim}
|
||||
-18
@@ -1,18 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{CNN\PYGdefaultZus{}keras} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{CNN} \PYGdefault{o}{=} \PYGdefault{n}{create\PYGdefaultZus{}convolutional\PYGdefaultZus{}neural\PYGdefaultZus{}network\PYGdefaultZus{}keras}\PYGdefault{p}{(}\PYGdefault{n}{input\PYGdefaultZus{}shape}\PYGdefault{p}{,} \PYGdefault{n}{receptive\PYGdefaultZus{}field}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}filters}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{fit}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{verbose}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{scores} \PYGdefault{o}{=} \PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{evaluate}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{CNN\PYGdefaultZus{}keras}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{CNN}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test accuracy: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}.3f}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{scores}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{])}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-70
@@ -1,70 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} to categorical turns our integer vector into a onehot representation}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn.metrics} \PYGdefault{k+kn}{import} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} one\PYGdefaultZhy{}hot in numpy}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{to\PYGdefaultZus{}categorical\PYGdefaultZus{}numpy}\PYGdefault{p}{(}\PYGdefault{n}{integer\PYGdefaultZus{}vector}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{integer\PYGdefaultZus{}vector}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{max}\PYGdefault{p}{(}\PYGdefault{n}{integer\PYGdefaultZus{}vector}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{l+m+mi}{1}
|
||||
\PYGdefault{n}{onehot\PYGdefaultZus{}vector} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{onehot\PYGdefaultZus{}vector}\PYGdefault{p}{[}\PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{),} \PYGdefault{n}{integer\PYGdefaultZus{}vector}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{1}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{onehot\PYGdefaultZus{}vector}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{}Y\PYGdefaultZus{}train\PYGdefaultZus{}onehot, Y\PYGdefaultZus{}test\PYGdefaultZus{}onehot = to\PYGdefaultZus{}categorical(Y\PYGdefaultZus{}train), to\PYGdefaultZus{}categorical(Y\PYGdefaultZus{}test)}
|
||||
\PYGdefault{n}{Y\PYGdefaultZus{}train\PYGdefaultZus{}onehot}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test\PYGdefaultZus{}onehot} \PYGdefault{o}{=} \PYGdefault{n}{to\PYGdefaultZus{}categorical\PYGdefaultZus{}numpy}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{),} \PYGdefault{n}{to\PYGdefaultZus{}categorical\PYGdefaultZus{}numpy}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{feed\PYGdefaultZus{}forward\PYGdefaultZus{}train}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weighted sum of inputs to the hidden layer}
|
||||
\PYGdefault{n}{z\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{,} \PYGdefault{n}{hidden\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{hidden\PYGdefaultZus{}bias}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} activation in the hidden layer}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weighted sum of inputs to the output layer}
|
||||
\PYGdefault{n}{z\PYGdefaultZus{}o} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{output\PYGdefaultZus{}bias}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} softmax output}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} axis 0 holds each input and axis 1 the probabilities of each category}
|
||||
\PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}o}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{/} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{exp\PYGdefaultZus{}term}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{n}{keepdims}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} for backpropagation need activations in hidden and output layers}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n}{probabilities}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{backpropagation}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{,} \PYGdefault{n}{Y}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{feed\PYGdefaultZus{}forward\PYGdefaultZus{}train}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} error in the output layer}
|
||||
\PYGdefault{n}{error\PYGdefaultZus{}output} \PYGdefault{o}{=} \PYGdefault{n}{probabilities} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n}{Y}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} error in the hidden layer}
|
||||
\PYGdefault{n}{error\PYGdefaultZus{}hidden} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{,} \PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{)} \PYGdefault{o}{*} \PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{*} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{1} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} gradients for the output layer}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{,} \PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}bias\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}output}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} gradient for the hidden layer}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}weights\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{o}{.}\PYGdefault{n}{T}\PYGdefault{p}{,} \PYGdefault{n}{error\PYGdefaultZus{}hidden}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}bias\PYGdefaultZus{}gradient} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{error\PYGdefaultZus{}hidden}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{output\PYGdefaultZus{}weights\PYGdefaultZus{}gradient}\PYGdefault{p}{,} \PYGdefault{n}{output\PYGdefaultZus{}bias\PYGdefaultZus{}gradient}\PYGdefault{p}{,} \PYGdefault{n}{hidden\PYGdefaultZus{}weights\PYGdefaultZus{}gradient}\PYGdefault{p}{,} \PYGdefault{n}{hidden\PYGdefaultZus{}bias\PYGdefaultZus{}gradient}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Old accuracy on training data: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{),} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{n}{eta} \PYGdefault{o}{=} \PYGdefault{l+m+mf}{0.01}
|
||||
\PYGdefault{n}{lmbd} \PYGdefault{o}{=} \PYGdefault{l+m+mf}{0.01}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{1000}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} calculate gradients}
|
||||
\PYGdefault{n}{dWo}\PYGdefault{p}{,} \PYGdefault{n}{dBo}\PYGdefault{p}{,} \PYGdefault{n}{dWh}\PYGdefault{p}{,} \PYGdefault{n}{dBh} \PYGdefault{o}{=} \PYGdefault{n}{backpropagation}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train\PYGdefaultZus{}onehot}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} regularization term gradients}
|
||||
\PYGdefault{n}{dWo} \PYGdefault{o}{+=} \PYGdefault{n}{lmbd} \PYGdefault{o}{*} \PYGdefault{n}{output\PYGdefaultZus{}weights}
|
||||
\PYGdefault{n}{dWh} \PYGdefault{o}{+=} \PYGdefault{n}{lmbd} \PYGdefault{o}{*} \PYGdefault{n}{hidden\PYGdefaultZus{}weights}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} update weights and biases}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}weights} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n}{dWo}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}bias} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n}{dBo}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}weights} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n}{dWh}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}bias} \PYGdefault{o}{\PYGdefaultZhy{}=} \PYGdefault{n}{eta} \PYGdefault{o}{*} \PYGdefault{n}{dBh}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}New accuracy on training data: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{),} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{)))}
|
||||
\end{Verbatim}
|
||||
-29
@@ -1,29 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn.model\PYGdefaultZus{}selection} \PYGdefault{k+kn}{import} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} one\PYGdefaultZhy{}liner from scikit\PYGdefaultZhy{}learn library}
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mf}{0.8}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{1} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n}{train\PYGdefaultZus{}size}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{,} \PYGdefault{n}{labels}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} equivalently in numpy}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{train\PYGdefaultZus{}test\PYGdefaultZus{}split\PYGdefaultZus{}numpy}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{,} \PYGdefault{n}{labels}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{inputs\PYGdefaultZus{}shuffled} \PYGdefault{o}{=} \PYGdefault{n}{inputs}\PYGdefault{o}{.}\PYGdefault{n}{copy}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{labels\PYGdefaultZus{}shuffled} \PYGdefault{o}{=} \PYGdefault{n}{labels}\PYGdefault{o}{.}\PYGdefault{n}{copy}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{shuffle}\PYGdefault{p}{(}\PYGdefault{n}{inputs\PYGdefaultZus{}shuffled}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{shuffle}\PYGdefault{p}{(}\PYGdefault{n}{labels\PYGdefaultZus{}shuffled}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}end} \PYGdefault{o}{=} \PYGdefault{n+nb}{int}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{o}{*}\PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{inputs\PYGdefaultZus{}shuffled}\PYGdefault{p}{[:}\PYGdefault{n}{train\PYGdefaultZus{}end}\PYGdefault{p}{],} \PYGdefault{n}{inputs\PYGdefaultZus{}shuffled}\PYGdefault{p}{[}\PYGdefault{n}{train\PYGdefaultZus{}end}\PYGdefault{p}{:]}
|
||||
\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{labels\PYGdefaultZus{}shuffled}\PYGdefault{p}{[:}\PYGdefault{n}{train\PYGdefaultZus{}end}\PYGdefault{p}{],} \PYGdefault{n}{labels\PYGdefaultZus{}shuffled}\PYGdefault{p}{[}\PYGdefault{n}{train\PYGdefaultZus{}end}\PYGdefault{p}{:]}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{}X\PYGdefaultZus{}train, X\PYGdefaultZus{}test, Y\PYGdefaultZus{}train, Y\PYGdefaultZus{}test = train\PYGdefaultZus{}test\PYGdefaultZus{}split\PYGdefaultZus{}numpy(inputs, labels, train\PYGdefaultZus{}size, test\PYGdefaultZus{}size)}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Number of training images: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{)))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Number of test images: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{)))}
|
||||
\end{Verbatim}
|
||||
-133
@@ -1,133 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{tensorflow} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{tf}
|
||||
|
||||
\PYGdefault{k}{class} \PYGdefault{n+nc}{NeuralNetworkTensorflow}\PYGdefault{p}{:}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf+fm}{\PYGdefaultZus{}\PYGdefaultZus{}init\PYGdefaultZus{}\PYGdefaultZus{}}\PYGdefault{p}{(}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{100}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{50}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{2}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{100}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{l+m+mf}{0.0}\PYGdefault{p}{,}
|
||||
\PYGdefault{p}{):}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} keep track of number of steps}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{global\PYGdefaultZus{}step} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{Variable}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{int32}\PYGdefault{p}{,} \PYGdefault{n}{trainable}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{False}\PYGdefault{p}{,} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}global\PYGdefaultZus{}step\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}train} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}train}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}train} \PYGdefault{o}{=} \PYGdefault{n}{Y\PYGdefaultZus{}train}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}test}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{Y\PYGdefaultZus{}test}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}features} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{]}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1} \PYGdefault{o}{=} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2} \PYGdefault{o}{=} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{n}{n\PYGdefaultZus{}categories}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{n}{epochs}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{n}{batch\PYGdefaultZus{}size}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{iterations} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{//} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta} \PYGdefault{o}{=} \PYGdefault{n}{eta}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd} \PYGdefault{o}{=} \PYGdefault{n}{lmbd}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} build network piece by piece}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} name scopes (with) are used to enforce creation of new variables}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} https://www.tensorflow.org/guide/variables}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}placeholders}\PYGdefault{p}{()}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}DNN}\PYGdefault{p}{()}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}loss}\PYGdefault{p}{()}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}optimiser}\PYGdefault{p}{()}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{create\PYGdefaultZus{}accuracy}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}placeholders}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} placeholders are fine here, but \PYGdefaultZdq{}Datasets\PYGdefaultZdq{} are the preferred method}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} of streaming data into a model}
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{name\PYGdefaultZus{}scope}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}data\PYGdefaultZsq{}}\PYGdefault{p}{):}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{placeholder}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{,} \PYGdefault{n}{shape}\PYGdefault{o}{=}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{None}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}features}\PYGdefault{p}{),} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}X\PYGdefaultZus{}data\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{placeholder}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{,} \PYGdefault{n}{shape}\PYGdefault{o}{=}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{None}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{),} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}Y\PYGdefaultZus{}data\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}DNN}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{name\PYGdefaultZus{}scope}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}DNN\PYGdefaultZsq{}}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} the weights are stored to calculate regularization loss later}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} Fully connected layer 1}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc1} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{weight\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}features}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}fc1\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{b\PYGdefaultZus{}fc1} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{bias\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}fc1\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}fc1} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc1}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{b\PYGdefaultZus{}fc1}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} Fully connected layer 2}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc2} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{weight\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}fc2\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{b\PYGdefaultZus{}fc2} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{bias\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}fc2\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}fc2} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}fc1}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc2}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{b\PYGdefaultZus{}fc2}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} Output layer}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}out} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{weight\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}out\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{b\PYGdefaultZus{}out} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{bias\PYGdefaultZus{}variable}\PYGdefault{p}{([}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{],} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}out\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}out} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}fc2}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}out}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{b\PYGdefaultZus{}out}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}loss}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{name\PYGdefaultZus{}scope}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}loss\PYGdefaultZsq{}}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{softmax\PYGdefaultZus{}loss} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{reduce\PYGdefaultZus{}mean}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{softmax\PYGdefaultZus{}cross\PYGdefaultZus{}entropy\PYGdefaultZus{}with\PYGdefaultZus{}logits\PYGdefaultZus{}v2}\PYGdefault{p}{(}\PYGdefault{n}{labels}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{,} \PYGdefault{n}{logits}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}out}\PYGdefault{p}{))}
|
||||
|
||||
\PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}fc1} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{l2\PYGdefaultZus{}loss}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}fc2} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{l2\PYGdefaultZus{}loss}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}fc2}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}out} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{l2\PYGdefaultZus{}loss}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{W\PYGdefaultZus{}out}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{regularizer\PYGdefaultZus{}loss} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{lmbd}\PYGdefault{o}{*}\PYGdefault{p}{(}\PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}fc1} \PYGdefault{o}{+} \PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}fc2} \PYGdefault{o}{+} \PYGdefault{n}{regularizer\PYGdefaultZus{}loss\PYGdefaultZus{}out}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{loss} \PYGdefault{o}{=} \PYGdefault{n}{softmax\PYGdefaultZus{}loss} \PYGdefault{o}{+} \PYGdefault{n}{regularizer\PYGdefaultZus{}loss}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}accuracy}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{name\PYGdefaultZus{}scope}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}accuracy\PYGdefaultZsq{}}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{nn}\PYGdefault{o}{.}\PYGdefault{n}{softmax}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{z\PYGdefaultZus{}out}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{predictions} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{argmax}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{labels} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{argmax}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{correct\PYGdefaultZus{}predictions} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{equal}\PYGdefault{p}{(}\PYGdefault{n}{predictions}\PYGdefault{p}{,} \PYGdefault{n}{labels}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{correct\PYGdefaultZus{}predictions} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{cast}\PYGdefault{p}{(}\PYGdefault{n}{correct\PYGdefaultZus{}predictions}\PYGdefault{p}{,} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{)}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{accuracy} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{reduce\PYGdefaultZus{}mean}\PYGdefault{p}{(}\PYGdefault{n}{correct\PYGdefaultZus{}predictions}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}optimiser}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{name\PYGdefaultZus{}scope}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}optimizer\PYGdefaultZsq{}}\PYGdefault{p}{):}
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{optimizer} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{train}\PYGdefault{o}{.}\PYGdefault{n}{GradientDescentOptimizer}\PYGdefault{p}{(}\PYGdefault{n}{learning\PYGdefaultZus{}rate}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{eta}\PYGdefault{p}{)}\PYGdefault{o}{.}\PYGdefault{n}{minimize}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{loss}\PYGdefault{p}{,} \PYGdefault{n}{global\PYGdefaultZus{}step}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{global\PYGdefaultZus{}step}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{weight\PYGdefaultZus{}variable}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,} \PYGdefault{n}{shape}\PYGdefault{p}{,} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{initial} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{truncated\PYGdefaultZus{}normal}\PYGdefault{p}{(}\PYGdefault{n}{shape}\PYGdefault{p}{,} \PYGdefault{n}{stddev}\PYGdefault{o}{=}\PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{Variable}\PYGdefault{p}{(}\PYGdefault{n}{initial}\PYGdefault{p}{,} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{n}{name}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{dtype}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{bias\PYGdefaultZus{}variable}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{,} \PYGdefault{n}{shape}\PYGdefault{p}{,} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{float32}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{initial} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{constant}\PYGdefault{p}{(}\PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{,} \PYGdefault{n}{shape}\PYGdefault{o}{=}\PYGdefault{n}{shape}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{Variable}\PYGdefault{p}{(}\PYGdefault{n}{initial}\PYGdefault{p}{,} \PYGdefault{n}{name}\PYGdefault{o}{=}\PYGdefault{n}{name}\PYGdefault{p}{,} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n}{dtype}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{fit}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{data\PYGdefaultZus{}indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{with} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{Session}\PYGdefault{p}{()} \PYGdefault{k}{as} \PYGdefault{n}{sess}\PYGdefault{p}{:}
|
||||
\PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{global\PYGdefaultZus{}variables\PYGdefaultZus{}initializer}\PYGdefault{p}{())}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{epochs}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{iterations}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{choice}\PYGdefault{p}{(}\PYGdefault{n}{data\PYGdefaultZus{}indices}\PYGdefault{p}{,} \PYGdefault{n}{size}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{replace}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{False}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}X}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}Y} \PYGdefault{o}{=} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{[}\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints}\PYGdefault{p}{],} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{[}\PYGdefault{n}{chosen\PYGdefaultZus{}datapoints}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{([}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{loss}\PYGdefault{p}{,} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{optimizer}\PYGdefault{p}{],}
|
||||
\PYGdefault{n}{feed\PYGdefaultZus{}dict}\PYGdefault{o}{=}\PYGdefault{p}{\PYGdefaultZob{}}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{X}\PYGdefault{p}{:} \PYGdefault{n}{batch\PYGdefaultZus{}X}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{:} \PYGdefault{n}{batch\PYGdefaultZus{}Y}\PYGdefault{p}{\PYGdefaultZcb{})}
|
||||
\PYGdefault{n}{accuracy} \PYGdefault{o}{=} \PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{(}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{accuracy}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{feed\PYGdefaultZus{}dict}\PYGdefault{o}{=}\PYGdefault{p}{\PYGdefaultZob{}}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{X}\PYGdefault{p}{:} \PYGdefault{n}{batch\PYGdefaultZus{}X}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{:} \PYGdefault{n}{batch\PYGdefaultZus{}Y}\PYGdefault{p}{\PYGdefaultZcb{})}
|
||||
\PYGdefault{n}{step} \PYGdefault{o}{=} \PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{(}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{global\PYGdefaultZus{}step}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{train\PYGdefaultZus{}loss}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{([}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{loss}\PYGdefault{p}{,} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{accuracy}\PYGdefault{p}{],}
|
||||
\PYGdefault{n}{feed\PYGdefaultZus{}dict}\PYGdefault{o}{=}\PYGdefault{p}{\PYGdefaultZob{}}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{X}\PYGdefault{p}{:} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{:} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{\PYGdefaultZcb{})}
|
||||
|
||||
\PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}loss}\PYGdefault{p}{,} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{sess}\PYGdefault{o}{.}\PYGdefault{n}{run}\PYGdefault{p}{([}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{loss}\PYGdefault{p}{,} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{accuracy}\PYGdefault{p}{],}
|
||||
\PYGdefault{n}{feed\PYGdefaultZus{}dict}\PYGdefault{o}{=}\PYGdefault{p}{\PYGdefaultZob{}}\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{X}\PYGdefault{p}{:} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{Y}\PYGdefault{p}{:} \PYGdefault{n+nb+bp}{self}\PYGdefault{o}{.}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{\PYGdefaultZcb{})}
|
||||
\end{Verbatim}
|
||||
-9
@@ -1,9 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{50}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
\PYGdefault{n}{eta\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{lmbd\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\end{Verbatim}
|
||||
-17
@@ -1,17 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}tf} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{DNN} \PYGdefault{o}{=} \PYGdefault{n}{NeuralNetworkTensorflow}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{fit}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}tf}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test accuracy: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}.3f}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-35
@@ -1,35 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} visual representation of grid search}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} uses seaborn heatmap, you can also do this with matplotlib imshow}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{seaborn} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{sns}
|
||||
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{set}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{n}{dnn} \PYGdefault{o}{=} \PYGdefault{n}{DNN\PYGdefaultZus{}numpy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}pred} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}pred} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}pred}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{test\PYGdefaultZus{}pred}\PYGdefault{p}{)}
|
||||
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Training Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-3
@@ -1,3 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{pip3} \PYGdefault{n}{install} \PYGdefault{n}{tensorflow}
|
||||
\end{Verbatim}
|
||||
-18
@@ -1,18 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn.neural\PYGdefaultZus{}network} \PYGdefault{k+kn}{import} \PYGdefault{n}{MLPClassifier}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} store models for later use}
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}scikit} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{dnn} \PYGdefault{o}{=} \PYGdefault{n}{MLPClassifier}\PYGdefault{p}{(}\PYGdefault{n}{hidden\PYGdefaultZus{}layer\PYGdefaultZus{}sizes}\PYGdefault{o}{=}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{),} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}logistic\PYGdefaultZsq{}}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{alpha}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{,} \PYGdefault{n}{learning\PYGdefaultZus{}rate\PYGdefaultZus{}init}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{max\PYGdefaultZus{}iter}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{fit}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}scikit}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{dnn}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Accuracy score on test set: \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{score}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-14
@@ -1,14 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.utils} \PYGdefault{k+kn}{import} \PYGdefault{n}{to\PYGdefaultZus{}categorical}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn.model\PYGdefaultZus{}selection} \PYGdefault{k+kn}{import} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} representation of labels}
|
||||
\PYGdefault{n}{labels} \PYGdefault{o}{=} \PYGdefault{n}{to\PYGdefaultZus{}categorical}\PYGdefault{p}{(}\PYGdefault{n}{labels}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} split into train and test data}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} one\PYGdefaultZhy{}liner from scikit\PYGdefaultZhy{}learn library}
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mf}{0.8}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{1} \PYGdefault{o}{\PYGdefaultZhy{}} \PYGdefault{n}{train\PYGdefaultZus{}size}
|
||||
\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{=} \PYGdefault{n}{train\PYGdefaultZus{}test\PYGdefaultZus{}split}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{,} \PYGdefault{n}{labels}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{train\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{test\PYGdefaultZus{}size}\PYGdefault{p}{)}
|
||||
\end{Verbatim}
|
||||
-22
@@ -1,22 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{eta\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{lmbd\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} store the models for later use}
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}numpy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} grid search}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{dnn} \PYGdefault{o}{=} \PYGdefault{n}{NeuralNetwork}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train\PYGdefaultZus{}onehot}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{,} \PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{train}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}numpy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{dnn}
|
||||
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}predict} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Accuracy score on test set: \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{test\PYGdefaultZus{}predict}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-73
@@ -1,73 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{l+s+sd}{\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}The sigmoid function (or the logistic curve) is a}
|
||||
\PYGdefault{l+s+sd}{function that takes any real number, z, and outputs a number (0,1).}
|
||||
\PYGdefault{l+s+sd}{It is useful in neural networks for assigning weights on a relative scale.}
|
||||
\PYGdefault{l+s+sd}{The value z is the weighted sum of parameters involved in the learning algorithm.\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}}
|
||||
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{numpy}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{matplotlib.pyplot} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{plt}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{math} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{mt}
|
||||
|
||||
\PYGdefault{n}{z} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{o}{.}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{sigma\PYGdefaultZus{}fn} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{vectorize}\PYGdefault{p}{(}\PYGdefault{k}{lambda} \PYGdefault{n}{z}\PYGdefault{p}{:} \PYGdefault{l+m+mi}{1}\PYGdefault{o}{/}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{1}\PYGdefault{o}{+}\PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{n}{z}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{sigma} \PYGdefault{o}{=} \PYGdefault{n}{sigma\PYGdefaultZus{}fn}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{fig} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{figure}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{fig}\PYGdefault{o}{.}\PYGdefault{n}{add\PYGdefaultZus{}subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{111}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{plot}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{,} \PYGdefault{n}{sigma}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{1.1}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{grid}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}z\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}sigmoid function\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{l+s+sd}{\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}Step Function\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}}
|
||||
\PYGdefault{n}{z} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{o}{.}\PYGdefault{l+m+mo}{02}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{step\PYGdefaultZus{}fn} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{vectorize}\PYGdefault{p}{(}\PYGdefault{k}{lambda} \PYGdefault{n}{z}\PYGdefault{p}{:} \PYGdefault{l+m+mf}{1.0} \PYGdefault{k}{if} \PYGdefault{n}{z} \PYGdefault{o}{\PYGdefaultZgt{}=} \PYGdefault{l+m+mf}{0.0} \PYGdefault{k}{else} \PYGdefault{l+m+mf}{0.0}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{step} \PYGdefault{o}{=} \PYGdefault{n}{step\PYGdefaultZus{}fn}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{fig} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{figure}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{fig}\PYGdefault{o}{.}\PYGdefault{n}{add\PYGdefaultZus{}subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{111}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{plot}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{,} \PYGdefault{n}{step}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mf}{0.5}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{1.5}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{grid}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}z\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}step function\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{l+s+sd}{\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}Sine Function\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}}
|
||||
\PYGdefault{n}{z} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{2}\PYGdefault{o}{*}\PYGdefault{n}{mt}\PYGdefault{o}{.}\PYGdefault{n}{pi}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{2}\PYGdefault{o}{*}\PYGdefault{n}{mt}\PYGdefault{o}{.}\PYGdefault{n}{pi}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{0.1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{t} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{sin}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{fig} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{figure}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{fig}\PYGdefault{o}{.}\PYGdefault{n}{add\PYGdefaultZus{}subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{111}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{plot}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{,} \PYGdefault{n}{t}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mf}{1.0}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{1.0}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{2}\PYGdefault{o}{*}\PYGdefault{n}{mt}\PYGdefault{o}{.}\PYGdefault{n}{pi}\PYGdefault{p}{,}\PYGdefault{l+m+mi}{2}\PYGdefault{o}{*}\PYGdefault{n}{mt}\PYGdefault{o}{.}\PYGdefault{n}{pi}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{grid}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}z\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}sine function\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{l+s+sd}{\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}Plots a graph of the squashing function used by a rectified linear}
|
||||
\PYGdefault{l+s+sd}{unit\PYGdefaultZdq{}\PYGdefaultZdq{}\PYGdefaultZdq{}}
|
||||
\PYGdefault{n}{z} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{2}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{2}\PYGdefault{p}{,} \PYGdefault{o}{.}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{zero} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{y} \PYGdefault{o}{=} \PYGdefault{n}{numpy}\PYGdefault{o}{.}\PYGdefault{n}{max}\PYGdefault{p}{([}\PYGdefault{n}{zero}\PYGdefault{p}{,} \PYGdefault{n}{z}\PYGdefault{p}{],} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{fig} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{figure}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{fig}\PYGdefault{o}{.}\PYGdefault{n}{add\PYGdefaultZus{}subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{111}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{plot}\PYGdefault{p}{(}\PYGdefault{n}{z}\PYGdefault{p}{,} \PYGdefault{n}{y}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mf}{2.0}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{2.0}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlim}\PYGdefault{p}{([}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mf}{2.0}\PYGdefault{p}{,} \PYGdefault{l+m+mf}{2.0}\PYGdefault{p}{])}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{grid}\PYGdefault{p}{(}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}z\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}Rectified linear unit\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-33
@@ -1,33 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} optional}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} visual representation of grid search}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} uses seaborn heatmap, could probably do this in matplotlib}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{seaborn} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{sns}
|
||||
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{set}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{n}{DNN} \PYGdefault{o}{=} \PYGdefault{n}{DNN\PYGdefaultZus{}keras}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{evaluate}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{)[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{]}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{evaluate}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{)[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{]}
|
||||
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Training Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-36
@@ -1,36 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.models} \PYGdefault{k+kn}{import} \PYGdefault{n}{Sequential}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.layers.convolutional} \PYGdefault{k+kn}{import} \PYGdefault{n}{Conv2D}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.layers.convolutional} \PYGdefault{k+kn}{import} \PYGdefault{n}{MaxPooling2D}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.layers} \PYGdefault{k+kn}{import} \PYGdefault{n}{Flatten}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.layers} \PYGdefault{k+kn}{import} \PYGdefault{n}{Dense}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.regularizers} \PYGdefault{k+kn}{import} \PYGdefault{n}{l2}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{keras.optimizers} \PYGdefault{k+kn}{import} \PYGdefault{n}{SGD}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{create\PYGdefaultZus{}convolutional\PYGdefaultZus{}neural\PYGdefaultZus{}network\PYGdefaultZus{}keras}\PYGdefault{p}{(}\PYGdefault{n}{input\PYGdefaultZus{}shape}\PYGdefault{p}{,} \PYGdefault{n}{receptive\PYGdefaultZus{}field}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}filters}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{model} \PYGdefault{o}{=} \PYGdefault{n}{Sequential}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Conv2D}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}filters}\PYGdefault{p}{,} \PYGdefault{p}{(}\PYGdefault{n}{receptive\PYGdefaultZus{}field}\PYGdefault{p}{,} \PYGdefault{n}{receptive\PYGdefaultZus{}field}\PYGdefault{p}{),} \PYGdefault{n}{input\PYGdefaultZus{}shape}\PYGdefault{o}{=}\PYGdefault{n}{input\PYGdefaultZus{}shape}\PYGdefault{p}{,} \PYGdefault{n}{padding}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}same\PYGdefaultZsq{}}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}relu\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{kernel\PYGdefaultZus{}regularizer}\PYGdefault{o}{=}\PYGdefault{n}{l2}\PYGdefault{p}{(}\PYGdefault{n}{lmbd}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{MaxPooling2D}\PYGdefault{p}{(}\PYGdefault{n}{pool\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{2}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{2}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Flatten}\PYGdefault{p}{())}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Dense}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected}\PYGdefault{p}{,} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}relu\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{kernel\PYGdefaultZus{}regularizer}\PYGdefault{o}{=}\PYGdefault{n}{l2}\PYGdefault{p}{(}\PYGdefault{n}{lmbd}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{add}\PYGdefault{p}{(}\PYGdefault{n}{Dense}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,} \PYGdefault{n}{activation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}softmax\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{kernel\PYGdefaultZus{}regularizer}\PYGdefault{o}{=}\PYGdefault{n}{l2}\PYGdefault{p}{(}\PYGdefault{n}{lmbd}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{n}{sgd} \PYGdefault{o}{=} \PYGdefault{n}{SGD}\PYGdefault{p}{(}\PYGdefault{n}{lr}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{model}\PYGdefault{o}{.}\PYGdefault{n}{compile}\PYGdefault{p}{(}\PYGdefault{n}{loss}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}categorical\PYGdefaultZus{}crossentropy\PYGdefaultZsq{}}\PYGdefault{p}{,} \PYGdefault{n}{optimizer}\PYGdefault{o}{=}\PYGdefault{n}{sgd}\PYGdefault{p}{,} \PYGdefault{n}{metrics}\PYGdefault{o}{=}\PYGdefault{p}{[}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}accuracy\PYGdefaultZsq{}}\PYGdefault{p}{])}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{model}
|
||||
|
||||
\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{input\PYGdefaultZus{}shape} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{:}\PYGdefault{l+m+mi}{4}\PYGdefault{p}{]}
|
||||
\PYGdefault{n}{receptive\PYGdefaultZus{}field} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{3}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}filters} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{50}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
|
||||
\PYGdefault{n}{eta\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{lmbd\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\end{Verbatim}
|
||||
-3
@@ -1,3 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{conda} \PYGdefault{n}{install} \PYGdefault{n}{keras}
|
||||
\end{Verbatim}
|
||||
-37
@@ -1,37 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} setup the feed\PYGdefaultZhy{}forward pass, subscript h = hidden layer}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{x}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{return} \PYGdefault{l+m+mi}{1}\PYGdefault{o}{/}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{1} \PYGdefault{o}{+} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{n}{x}\PYGdefault{p}{))}
|
||||
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{feed\PYGdefaultZus{}forward}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weighted sum of inputs to the hidden layer}
|
||||
\PYGdefault{n}{z\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{,} \PYGdefault{n}{hidden\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{hidden\PYGdefaultZus{}bias}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} activation in the hidden layer}
|
||||
\PYGdefault{n}{a\PYGdefaultZus{}h} \PYGdefault{o}{=} \PYGdefault{n}{sigmoid}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}h}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weighted sum of inputs to the output layer}
|
||||
\PYGdefault{n}{z\PYGdefaultZus{}o} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{matmul}\PYGdefault{p}{(}\PYGdefault{n}{a\PYGdefaultZus{}h}\PYGdefault{p}{,} \PYGdefault{n}{output\PYGdefaultZus{}weights}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{n}{output\PYGdefaultZus{}bias}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} softmax output}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} axis 0 holds each input and axis 1 the probabilities of each category}
|
||||
\PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{exp}\PYGdefault{p}{(}\PYGdefault{n}{z\PYGdefaultZus{}o}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{exp\PYGdefaultZus{}term} \PYGdefault{o}{/} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{exp\PYGdefaultZus{}term}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{n}{keepdims}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{probabilities}
|
||||
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{feed\PYGdefaultZus{}forward}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}probabilities = (n\PYGdefaultZus{}inputs, n\PYGdefaultZus{}categories) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}probability that image 0 is in category 0,1,2,...,9 = }\PYGdefault{l+s+se}{\PYGdefaultZbs{}n}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}probabilities sum up to: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{()))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} we obtain a prediction by taking the class with the highest likelihood}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{probabilities} \PYGdefault{o}{=} \PYGdefault{n}{feed\PYGdefaultZus{}forward}\PYGdefault{p}{(}\PYGdefault{n}{X}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{argmax}\PYGdefault{p}{(}\PYGdefault{n}{probabilities}\PYGdefault{p}{,} \PYGdefault{n}{axis}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{predictions} \PYGdefault{o}{=} \PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}predictions = (n\PYGdefaultZus{}inputs) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{predictions}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}prediction for image 0: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{predictions}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}correct label for image 0: \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{]))}
|
||||
\end{Verbatim}
|
||||
-26
@@ -1,26 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}filters} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{50}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
|
||||
\PYGdefault{n}{eta\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{lmbd\PYGdefaultZus{}vals} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{logspace}\PYGdefault{p}{(}\PYGdefault{o}{\PYGdefaultZhy{}}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{7}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{CNN\PYGdefaultZus{}tf} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{CNN} \PYGdefault{o}{=} \PYGdefault{n}{ConvolutionalNeuralNetworkTensorflow}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}filters}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}filters}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}connected}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,} \PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{fit}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test accuracy: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}.3f}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{CNN}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{CNN\PYGdefaultZus{}tf}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{CNN}
|
||||
\end{Verbatim}
|
||||
-17
@@ -1,17 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}keras} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)),} \PYGdefault{n}{dtype}\PYGdefault{o}{=}\PYGdefault{n+nb}{object}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{eta} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j}\PYGdefault{p}{,} \PYGdefault{n}{lmbd} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{):}
|
||||
\PYGdefault{n}{DNN} \PYGdefault{o}{=} \PYGdefault{n}{create\PYGdefaultZus{}neural\PYGdefaultZus{}network\PYGdefaultZus{}keras}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer1}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}neurons\PYGdefaultZus{}layer2}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{fit}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,} \PYGdefault{n}{verbose}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{scores} \PYGdefault{o}{=} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{evaluate}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{DNN\PYGdefaultZus{}keras}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Learning rate = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Lambda = \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{p}{)}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test accuracy: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}.3f}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{scores}\PYGdefault{p}{[}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{])}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-17
@@ -1,17 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} building our neural network}
|
||||
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}features} \PYGdefault{o}{=} \PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{o}{.}\PYGdefault{n}{shape}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{50}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}categories} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{10}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} we make the weights normally distributed using numpy.random.randn}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weights and bias in the hidden layer}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}weights} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{randn}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}features}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{hidden\PYGdefaultZus{}bias} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{l+m+mf}{0.01}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} weights and bias in the output layer}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}weights} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{randn}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{output\PYGdefaultZus{}bias} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)} \PYGdefault{o}{+} \PYGdefault{l+m+mf}{0.01}
|
||||
\end{Verbatim}
|
||||
-3
@@ -1,3 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{conda} \PYGdefault{n}{install} \PYGdefault{n}{tensorflow}
|
||||
\end{Verbatim}
|
||||
-36
@@ -1,36 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} optional}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} visual representation of grid search}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} uses seaborn heatmap, could probably do this in matplotlib}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{seaborn} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{sns}
|
||||
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{set}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{n}{dnn} \PYGdefault{o}{=} \PYGdefault{n}{DNN\PYGdefaultZus{}scikit}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}pred} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}pred} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{train\PYGdefaultZus{}pred}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{test\PYGdefaultZus{}pred}\PYGdefault{p}{)}
|
||||
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Training Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-42
@@ -1,42 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} import necessary packages}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{numpy} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{np}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{matplotlib.pyplot} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{plt}
|
||||
\PYGdefault{k+kn}{from} \PYGdefault{n+nn}{sklearn} \PYGdefault{k+kn}{import} \PYGdefault{n}{datasets}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} ensure the same random numbers appear every time}
|
||||
\PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{seed}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{0}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} display images in notebook}
|
||||
\PYGdefault{o}{\PYGdefaultZpc{}}\PYGdefault{n}{matplotlib} \PYGdefault{n}{inline}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{rcParams}\PYGdefault{p}{[}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}figure.figsize\PYGdefaultZsq{}}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{12}\PYGdefault{p}{,}\PYGdefault{l+m+mi}{12}\PYGdefault{p}{)}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} download MNIST dataset}
|
||||
\PYGdefault{n}{digits} \PYGdefault{o}{=} \PYGdefault{n}{datasets}\PYGdefault{o}{.}\PYGdefault{n}{load\PYGdefaultZus{}digits}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} define inputs and labels}
|
||||
\PYGdefault{n}{inputs} \PYGdefault{o}{=} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{images}
|
||||
\PYGdefault{n}{labels} \PYGdefault{o}{=} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{target}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} RGB images have a depth of 3}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} our images are grayscale so they should have a depth of 1}
|
||||
\PYGdefault{n}{inputs} \PYGdefault{o}{=} \PYGdefault{n}{inputs}\PYGdefault{p}{[:,:,:,}\PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{newaxis}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}inputs = (n\PYGdefaultZus{}inputs, pixel\PYGdefaultZus{}width, pixel\PYGdefaultZus{}height, depth) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}labels = (n\PYGdefaultZus{}inputs) = \PYGdefaultZdq{}} \PYGdefault{o}{+} \PYGdefault{n+nb}{str}\PYGdefault{p}{(}\PYGdefault{n}{labels}\PYGdefault{o}{.}\PYGdefault{n}{shape}\PYGdefault{p}{))}
|
||||
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} choose some random images to display}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}inputs} \PYGdefault{o}{=} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{inputs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{arange}\PYGdefault{p}{(}\PYGdefault{n}{n\PYGdefaultZus{}inputs}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{random\PYGdefaultZus{}indices} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{random}\PYGdefault{o}{.}\PYGdefault{n}{choice}\PYGdefault{p}{(}\PYGdefault{n}{indices}\PYGdefault{p}{,} \PYGdefault{n}{size}\PYGdefault{o}{=}\PYGdefault{l+m+mi}{5}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i}\PYGdefault{p}{,} \PYGdefault{n}{image} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{enumerate}\PYGdefault{p}{(}\PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{images}\PYGdefault{p}{[}\PYGdefault{n}{random\PYGdefaultZus{}indices}\PYGdefault{p}{]):}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplot}\PYGdefault{p}{(}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{5}\PYGdefault{p}{,} \PYGdefault{n}{i}\PYGdefault{o}{+}\PYGdefault{l+m+mi}{1}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{axis}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}off\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{imshow}\PYGdefault{p}{(}\PYGdefault{n}{image}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{cm}\PYGdefault{o}{.}\PYGdefault{n}{gray\PYGdefaultZus{}r}\PYGdefault{p}{,} \PYGdefault{n}{interpolation}\PYGdefault{o}{=}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}nearest\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Label: }\PYGdefault{l+s+si}{\PYGdefaultZpc{}d}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}} \PYGdefault{o}{\PYGdefaultZpc{}} \PYGdefault{n}{digits}\PYGdefault{o}{.}\PYGdefault{n}{target}\PYGdefault{p}{[}\PYGdefault{n}{random\PYGdefaultZus{}indices}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{]])}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
-18
@@ -1,18 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{n}{epochs} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
\PYGdefault{n}{batch\PYGdefaultZus{}size} \PYGdefault{o}{=} \PYGdefault{l+m+mi}{100}
|
||||
|
||||
\PYGdefault{n}{dnn} \PYGdefault{o}{=} \PYGdefault{n}{NeuralNetwork}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}train}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}train\PYGdefaultZus{}onehot}\PYGdefault{p}{,} \PYGdefault{n}{eta}\PYGdefault{o}{=}\PYGdefault{n}{eta}\PYGdefault{p}{,} \PYGdefault{n}{lmbd}\PYGdefault{o}{=}\PYGdefault{n}{lmbd}\PYGdefault{p}{,} \PYGdefault{n}{epochs}\PYGdefault{o}{=}\PYGdefault{n}{epochs}\PYGdefault{p}{,} \PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{o}{=}\PYGdefault{n}{batch\PYGdefaultZus{}size}\PYGdefault{p}{,}
|
||||
\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}hidden\PYGdefaultZus{}neurons}\PYGdefault{p}{,} \PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{o}{=}\PYGdefault{n}{n\PYGdefaultZus{}categories}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{train}\PYGdefault{p}{()}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}predict} \PYGdefault{o}{=} \PYGdefault{n}{dnn}\PYGdefault{o}{.}\PYGdefault{n}{predict}\PYGdefault{p}{(}\PYGdefault{n}{X\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} accuracy score from scikit library}
|
||||
\PYGdefault{k}{print}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Accuracy score on test set: \PYGdefaultZdq{}}\PYGdefault{p}{,} \PYGdefault{n}{accuracy\PYGdefaultZus{}score}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{test\PYGdefaultZus{}predict}\PYGdefault{p}{))}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} equivalent in numpy}
|
||||
\PYGdefault{k}{def} \PYGdefault{n+nf}{accuracy\PYGdefaultZus{}score\PYGdefaultZus{}numpy}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{,} \PYGdefault{n}{Y\PYGdefaultZus{}pred}\PYGdefault{p}{):}
|
||||
\PYGdefault{k}{return} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{sum}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test} \PYGdefault{o}{==} \PYGdefault{n}{Y\PYGdefaultZus{}pred}\PYGdefault{p}{)} \PYGdefault{o}{/} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{Y\PYGdefaultZus{}test}\PYGdefault{p}{)}
|
||||
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{}print(\PYGdefaultZdq{}Accuracy score on test set: \PYGdefaultZdq{}, accuracy\PYGdefaultZus{}score\PYGdefaultZus{}numpy(Y\PYGdefaultZus{}test, test\PYGdefaultZus{}predict))}
|
||||
\end{Verbatim}
|
||||
-6
@@ -1,6 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} optional}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} we can use log files to visualize our graph in Tensorboard}
|
||||
\PYGdefault{n}{writer} \PYGdefault{o}{=} \PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{summary}\PYGdefault{o}{.}\PYGdefault{n}{FileWriter}\PYGdefault{p}{(}\PYGdefault{l+s+s1}{\PYGdefaultZsq{}logs/\PYGdefaultZsq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{writer}\PYGdefault{o}{.}\PYGdefault{n}{add\PYGdefaultZus{}graph}\PYGdefault{p}{(}\PYGdefault{n}{tf}\PYGdefault{o}{.}\PYGdefault{n}{get\PYGdefaultZus{}default\PYGdefaultZus{}graph}\PYGdefault{p}{())}
|
||||
\end{Verbatim}
|
||||
-33
@@ -1,33 +0,0 @@
|
||||
\begin{Verbatim}[commandchars=\\\{\},codes={\catcode`\$=3\catcode`\^=7\catcode`\_=8}]
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} optional}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} visual representation of grid search}
|
||||
\PYGdefault{c+c1}{\PYGdefaultZsh{} uses seaborn heatmap, could probably do this in matplotlib}
|
||||
\PYGdefault{k+kn}{import} \PYGdefault{n+nn}{seaborn} \PYGdefault{k+kn}{as} \PYGdefault{n+nn}{sns}
|
||||
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{set}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy} \PYGdefault{o}{=} \PYGdefault{n}{np}\PYGdefault{o}{.}\PYGdefault{n}{zeros}\PYGdefault{p}{((}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{),} \PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)))}
|
||||
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{i} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{eta\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{k}{for} \PYGdefault{n}{j} \PYGdefault{o+ow}{in} \PYGdefault{n+nb}{range}\PYGdefault{p}{(}\PYGdefault{n+nb}{len}\PYGdefault{p}{(}\PYGdefault{n}{lmbd\PYGdefaultZus{}vals}\PYGdefault{p}{)):}
|
||||
\PYGdefault{n}{DNN} \PYGdefault{o}{=} \PYGdefault{n}{DNN\PYGdefaultZus{}tf}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]}
|
||||
|
||||
\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}
|
||||
\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{[}\PYGdefault{n}{i}\PYGdefault{p}{][}\PYGdefault{n}{j}\PYGdefault{p}{]} \PYGdefault{o}{=} \PYGdefault{n}{DNN}\PYGdefault{o}{.}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}
|
||||
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{train\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Training Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
|
||||
\PYGdefault{n}{fig}\PYGdefault{p}{,} \PYGdefault{n}{ax} \PYGdefault{o}{=} \PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{subplots}\PYGdefault{p}{(}\PYGdefault{n}{figsize} \PYGdefault{o}{=} \PYGdefault{p}{(}\PYGdefault{l+m+mi}{10}\PYGdefault{p}{,} \PYGdefault{l+m+mi}{10}\PYGdefault{p}{))}
|
||||
\PYGdefault{n}{sns}\PYGdefault{o}{.}\PYGdefault{n}{heatmap}\PYGdefault{p}{(}\PYGdefault{n}{test\PYGdefaultZus{}accuracy}\PYGdefault{p}{,} \PYGdefault{n}{annot}\PYGdefault{o}{=}\PYGdefault{n+nb+bp}{True}\PYGdefault{p}{,} \PYGdefault{n}{ax}\PYGdefault{o}{=}\PYGdefault{n}{ax}\PYGdefault{p}{,} \PYGdefault{n}{cmap}\PYGdefault{o}{=}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}viridis\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}title}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}Test Accuracy\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}ylabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}eta\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{ax}\PYGdefault{o}{.}\PYGdefault{n}{set\PYGdefaultZus{}xlabel}\PYGdefault{p}{(}\PYGdefault{l+s+s2}{\PYGdefaultZdq{}\PYGdefaultZdl{}\PYGdefaultZbs{}lambda\PYGdefaultZdl{}\PYGdefaultZdq{}}\PYGdefault{p}{)}
|
||||
\PYGdefault{n}{plt}\PYGdefault{o}{.}\PYGdefault{n}{show}\PYGdefault{p}{()}
|
||||
\end{Verbatim}
|
||||
@@ -1,101 +0,0 @@
|
||||
|
||||
\makeatletter
|
||||
\def\PYGdefault@reset{\let\PYGdefault@it=\relax \let\PYGdefault@bf=\relax%
|
||||
\let\PYGdefault@ul=\relax \let\PYGdefault@tc=\relax%
|
||||
\let\PYGdefault@bc=\relax \let\PYGdefault@ff=\relax}
|
||||
\def\PYGdefault@tok#1{\csname PYGdefault@tok@#1\endcsname}
|
||||
\def\PYGdefault@toks#1+{\ifx\relax#1\empty\else%
|
||||
\PYGdefault@tok{#1}\expandafter\PYGdefault@toks\fi}
|
||||
\def\PYGdefault@do#1{\PYGdefault@bc{\PYGdefault@tc{\PYGdefault@ul{%
|
||||
\PYGdefault@it{\PYGdefault@bf{\PYGdefault@ff{#1}}}}}}}
|
||||
\def\PYGdefault#1#2{\PYGdefault@reset\PYGdefault@toks#1+\relax+\PYGdefault@do{#2}}
|
||||
|
||||
\expandafter\def\csname PYGdefault@tok@w\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.73,0.73}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@c\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@cp\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.74,0.48,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@k\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kp\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kt\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.69,0.00,0.25}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@o\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ow\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.67,0.13,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nb\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nf\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nc\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nn\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ne\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.82,0.25,0.23}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nv\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@no\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.53,0.00,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nl\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.63,0.63,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ni\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.60,0.60,0.60}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@na\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.49,0.56,0.16}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nt\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@nd\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.67,0.13,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@s\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sd\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@si\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.40,0.53}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@se\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.40,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sr\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.40,0.53}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ss\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sx\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@m\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gh\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gu\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.50,0.00,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gd\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.63,0.00,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gi\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.63,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gr\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{1.00,0.00,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ge\endcsname{\let\PYGdefault@it=\textit}
|
||||
\expandafter\def\csname PYGdefault@tok@gs\endcsname{\let\PYGdefault@bf=\textbf}
|
||||
\expandafter\def\csname PYGdefault@tok@gp\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@go\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.53,0.53,0.53}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@gt\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.27,0.87}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@err\endcsname{\def\PYGdefault@bc##1{\setlength{\fboxsep}{0pt}\fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kc\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kd\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kn\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@kr\endcsname{\let\PYGdefault@bf=\textbf\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@bp\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@fm\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@vc\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@vg\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@vi\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@vm\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sa\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sb\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sc\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@dl\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@s2\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@sh\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@s1\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@mb\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@mf\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@mh\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@mi\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@il\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@mo\endcsname{\def\PYGdefault@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@ch\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@cm\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@cpf\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@c1\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
\expandafter\def\csname PYGdefault@tok@cs\endcsname{\let\PYGdefault@it=\textit\def\PYGdefault@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}}
|
||||
|
||||
\def\PYGdefaultZbs{\char`\\}
|
||||
\def\PYGdefaultZus{\char`\_}
|
||||
\def\PYGdefaultZob{\char`\{}
|
||||
\def\PYGdefaultZcb{\char`\}}
|
||||
\def\PYGdefaultZca{\char`\^}
|
||||
\def\PYGdefaultZam{\char`\&}
|
||||
\def\PYGdefaultZlt{\char`\<}
|
||||
\def\PYGdefaultZgt{\char`\>}
|
||||
\def\PYGdefaultZsh{\char`\#}
|
||||
\def\PYGdefaultZpc{\char`\%}
|
||||
\def\PYGdefaultZdl{\char`\$}
|
||||
\def\PYGdefaultZhy{\char`\-}
|
||||
\def\PYGdefaultZsq{\char`\'}
|
||||
\def\PYGdefaultZdq{\char`\"}
|
||||
\def\PYGdefaultZti{\char`\~}
|
||||
% for compatibility with earlier versions
|
||||
\def\PYGdefaultZat{@}
|
||||
\def\PYGdefaultZlb{[}
|
||||
\def\PYGdefaultZrb{]}
|
||||
\makeatother
|
||||
|
||||
Binary file not shown.
@@ -1,13 +0,0 @@
|
||||
.idea/
|
||||
*.iml
|
||||
*.iws
|
||||
*.eml
|
||||
out/
|
||||
.DS_Store
|
||||
.svn
|
||||
log/*.log
|
||||
tmp/**
|
||||
node_modules/
|
||||
.sass-cache
|
||||
css/reveal.min.css
|
||||
js/reveal.min.js
|
||||
@@ -1,7 +0,0 @@
|
||||
language: node_js
|
||||
node_js:
|
||||
- 4
|
||||
before_script:
|
||||
- npm install -g grunt-cli
|
||||
after_script:
|
||||
- grunt retire
|
||||
@@ -1,23 +0,0 @@
|
||||
## Contributing
|
||||
|
||||
Please keep the [issue tracker](http://github.com/hakimel/reveal.js/issues) limited to **bug reports**, **feature requests** and **pull requests**.
|
||||
|
||||
|
||||
### Personal Support
|
||||
If you have personal support or setup questions the best place to ask those are [StackOverflow](http://stackoverflow.com/questions/tagged/reveal.js).
|
||||
|
||||
|
||||
### Bug Reports
|
||||
When reporting a bug make sure to include information about which browser and operating system you are on as well as the necessary steps to reproduce the issue. If possible please include a link to a sample presentation where the bug can be tested.
|
||||
|
||||
|
||||
### Pull Requests
|
||||
- Should follow the coding style of the file you work in, most importantly:
|
||||
- Tabs to indent
|
||||
- Single-quoted strings
|
||||
- Should be made towards the **dev branch**
|
||||
- Should be submitted from a feature/topic branch (not your master)
|
||||
|
||||
|
||||
### Plugins
|
||||
Please do not submit plugins as pull requests. They should be maintained in their own separate repository. More information here: https://github.com/hakimel/reveal.js/wiki/Plugin-Guidelines
|
||||
@@ -1,140 +0,0 @@
|
||||
/* global module:false */
|
||||
module.exports = function(grunt) {
|
||||
var port = grunt.option('port') || 8000;
|
||||
// Project configuration
|
||||
grunt.initConfig({
|
||||
pkg: grunt.file.readJSON('package.json'),
|
||||
meta: {
|
||||
banner:
|
||||
'/*!\n' +
|
||||
' * reveal.js <%= pkg.version %> (<%= grunt.template.today("yyyy-mm-dd, HH:MM") %>)\n' +
|
||||
' * http://lab.hakim.se/reveal-js\n' +
|
||||
' * MIT licensed\n' +
|
||||
' *\n' +
|
||||
' * Copyright (C) 2014 Hakim El Hattab, http://hakim.se\n' +
|
||||
' */'
|
||||
},
|
||||
|
||||
qunit: {
|
||||
files: [ 'test/*.html' ]
|
||||
},
|
||||
|
||||
uglify: {
|
||||
options: {
|
||||
banner: '<%= meta.banner %>\n'
|
||||
},
|
||||
build: {
|
||||
src: 'js/reveal.js',
|
||||
dest: 'js/reveal.min.js'
|
||||
}
|
||||
},
|
||||
|
||||
cssmin: {
|
||||
compress: {
|
||||
files: {
|
||||
'css/reveal.min.css': [ 'css/reveal.css' ]
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
sass: {
|
||||
main: {
|
||||
files: {
|
||||
'css/theme/darkgray.css': 'css/theme/source/darkgray.scss',
|
||||
'css/theme/beigesmall.css': 'css/theme/source/beigesmall.scss',
|
||||
'css/theme/cbc.css': 'css/theme/source/cbc.scss',
|
||||
'css/theme/default.css': 'css/theme/source/default.scss',
|
||||
'css/theme/beige.css': 'css/theme/source/beige.scss',
|
||||
'css/theme/night.css': 'css/theme/source/night.scss',
|
||||
'css/theme/serif.css': 'css/theme/source/serif.scss',
|
||||
'css/theme/simple.css': 'css/theme/source/simple.scss',
|
||||
'css/theme/sky.css': 'css/theme/source/sky.scss',
|
||||
'css/theme/moon.css': 'css/theme/source/moon.scss',
|
||||
'css/theme/solarized.css': 'css/theme/source/solarized.scss',
|
||||
'css/theme/blood.css': 'css/theme/source/blood.scss'
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
jshint: {
|
||||
options: {
|
||||
curly: false,
|
||||
eqeqeq: true,
|
||||
immed: true,
|
||||
latedef: true,
|
||||
newcap: true,
|
||||
noarg: true,
|
||||
sub: true,
|
||||
undef: true,
|
||||
eqnull: true,
|
||||
browser: true,
|
||||
expr: true,
|
||||
globals: {
|
||||
head: false,
|
||||
module: false,
|
||||
console: false,
|
||||
unescape: false
|
||||
}
|
||||
},
|
||||
files: [ 'Gruntfile.js', 'js/reveal.js' ]
|
||||
},
|
||||
|
||||
connect: {
|
||||
server: {
|
||||
options: {
|
||||
port: port,
|
||||
base: '.'
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
zip: {
|
||||
'reveal-js-presentation.zip': [
|
||||
'index.html',
|
||||
'css/**',
|
||||
'js/**',
|
||||
'lib/**',
|
||||
'images/**',
|
||||
'plugin/**'
|
||||
]
|
||||
},
|
||||
|
||||
watch: {
|
||||
main: {
|
||||
files: [ 'Gruntfile.js', 'js/reveal.js', 'css/reveal.css' ],
|
||||
tasks: 'default'
|
||||
},
|
||||
theme: {
|
||||
files: [ 'css/theme/source/*.scss', 'css/theme/template/*.scss' ],
|
||||
tasks: 'themes'
|
||||
}
|
||||
}
|
||||
|
||||
});
|
||||
|
||||
// Dependencies
|
||||
grunt.loadNpmTasks( 'grunt-contrib-qunit' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-jshint' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-cssmin' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-uglify' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-watch' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-sass' );
|
||||
grunt.loadNpmTasks( 'grunt-contrib-connect' );
|
||||
grunt.loadNpmTasks( 'grunt-zip' );
|
||||
|
||||
// Default task
|
||||
grunt.registerTask( 'default', [ 'jshint', 'cssmin', 'uglify', 'qunit' ] );
|
||||
|
||||
// Theme task
|
||||
grunt.registerTask( 'themes', [ 'sass' ] );
|
||||
|
||||
// Package presentation to archive
|
||||
grunt.registerTask( 'package', [ 'default', 'zip' ] );
|
||||
|
||||
// Serve presentation locally
|
||||
grunt.registerTask( 'serve', [ 'connect', 'watch' ] );
|
||||
|
||||
// Run tests
|
||||
grunt.registerTask( 'test', [ 'jshint', 'qunit' ] );
|
||||
|
||||
};
|
||||
@@ -1,19 +0,0 @@
|
||||
Copyright (C) 2017 Hakim El Hattab, http://hakim.se, and reveal.js contributors
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in
|
||||
all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
THE SOFTWARE.
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,27 +0,0 @@
|
||||
{
|
||||
"name": "reveal.js",
|
||||
"version": "3.6.0",
|
||||
"main": [
|
||||
"js/reveal.js",
|
||||
"css/reveal.css"
|
||||
],
|
||||
"homepage": "http://revealjs.com",
|
||||
"license": "MIT",
|
||||
"description": "The HTML Presentation Framework",
|
||||
"authors": [
|
||||
"Hakim El Hattab <hakim.elhattab@gmail.com>"
|
||||
],
|
||||
"dependencies": {
|
||||
"headjs": "~1.0.3"
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git://github.com/hakimel/reveal.js.git"
|
||||
},
|
||||
"ignore": [
|
||||
"**/.*",
|
||||
"node_modules",
|
||||
"bower_components",
|
||||
"test"
|
||||
]
|
||||
}
|
||||
Binary file not shown.
|
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|
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|
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|
Before Width: | Height: | Size: 2.1 KiB |
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|
Before Width: | Height: | Size: 2.1 KiB |
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|
Before Width: | Height: | Size: 18 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 11 KiB |
@@ -1,203 +0,0 @@
|
||||
/* Default Print Stylesheet Template
|
||||
by Rob Glazebrook of CSSnewbie.com
|
||||
Last Updated: June 4, 2008
|
||||
|
||||
Feel free (nay, compelled) to edit, append, and
|
||||
manipulate this file as you see fit. */
|
||||
|
||||
|
||||
@media print {
|
||||
|
||||
/* SECTION 1: Set default width, margin, float, and
|
||||
background. This prevents elements from extending
|
||||
beyond the edge of the printed page, and prevents
|
||||
unnecessary background images from printing */
|
||||
html {
|
||||
background: #fff;
|
||||
width: auto;
|
||||
height: auto;
|
||||
overflow: visible;
|
||||
}
|
||||
body {
|
||||
background: #fff;
|
||||
font-size: 20pt;
|
||||
width: auto;
|
||||
height: auto;
|
||||
border: 0;
|
||||
margin: 0 5%;
|
||||
padding: 0;
|
||||
overflow: visible;
|
||||
float: none !important;
|
||||
}
|
||||
|
||||
/* SECTION 2: Remove any elements not needed in print.
|
||||
This would include navigation, ads, sidebars, etc. */
|
||||
.nestedarrow,
|
||||
.controls,
|
||||
.fork-reveal,
|
||||
.share-reveal,
|
||||
.state-background,
|
||||
.reveal .progress,
|
||||
.reveal .backgrounds,
|
||||
.reveal .slide-number {
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
/* SECTION 3: Set body font face, size, and color.
|
||||
Consider using a serif font for readability. */
|
||||
body, p, td, li, div {
|
||||
font-size: 20pt!important;
|
||||
font-family: Georgia, "Times New Roman", Times, serif !important;
|
||||
color: #000;
|
||||
}
|
||||
|
||||
/* SECTION 4: Set heading font face, sizes, and color.
|
||||
Differentiate your headings from your body text.
|
||||
Perhaps use a large sans-serif for distinction. */
|
||||
h1,h2,h3,h4,h5,h6 {
|
||||
color: #000!important;
|
||||
height: auto;
|
||||
line-height: normal;
|
||||
font-family: Georgia, "Times New Roman", Times, serif !important;
|
||||
text-shadow: 0 0 0 #000 !important;
|
||||
text-align: left;
|
||||
letter-spacing: normal;
|
||||
}
|
||||
/* Need to reduce the size of the fonts for printing */
|
||||
h1 { font-size: 28pt !important; }
|
||||
h2 { font-size: 24pt !important; }
|
||||
h3 { font-size: 22pt !important; }
|
||||
h4 { font-size: 22pt !important; font-variant: small-caps; }
|
||||
h5 { font-size: 21pt !important; }
|
||||
h6 { font-size: 20pt !important; font-style: italic; }
|
||||
|
||||
/* SECTION 5: Make hyperlinks more usable.
|
||||
Ensure links are underlined, and consider appending
|
||||
the URL to the end of the link for usability. */
|
||||
a:link,
|
||||
a:visited {
|
||||
color: #000 !important;
|
||||
font-weight: bold;
|
||||
text-decoration: underline;
|
||||
}
|
||||
/*
|
||||
.reveal a:link:after,
|
||||
.reveal a:visited:after {
|
||||
content: " (" attr(href) ") ";
|
||||
color: #222 !important;
|
||||
font-size: 90%;
|
||||
}
|
||||
*/
|
||||
|
||||
|
||||
/* SECTION 6: more reveal.js specific additions by @skypanther */
|
||||
ul, ol, div, p {
|
||||
visibility: visible;
|
||||
position: static;
|
||||
width: auto;
|
||||
height: auto;
|
||||
display: block;
|
||||
overflow: visible;
|
||||
margin: 0;
|
||||
text-align: left !important;
|
||||
}
|
||||
.reveal pre,
|
||||
.reveal table {
|
||||
margin-left: 0;
|
||||
margin-right: 0;
|
||||
}
|
||||
.reveal pre code {
|
||||
padding: 20px;
|
||||
border: 1px solid #ddd;
|
||||
}
|
||||
.reveal blockquote {
|
||||
margin: 20px 0;
|
||||
}
|
||||
.reveal .slides {
|
||||
position: static !important;
|
||||
width: auto !important;
|
||||
height: auto !important;
|
||||
|
||||
left: 0 !important;
|
||||
top: 0 !important;
|
||||
margin-left: 0 !important;
|
||||
margin-top: 0 !important;
|
||||
padding: 0 !important;
|
||||
zoom: 1 !important;
|
||||
|
||||
overflow: visible !important;
|
||||
display: block !important;
|
||||
|
||||
text-align: left !important;
|
||||
-webkit-perspective: none;
|
||||
-moz-perspective: none;
|
||||
-ms-perspective: none;
|
||||
perspective: none;
|
||||
|
||||
-webkit-perspective-origin: 50% 50%;
|
||||
-moz-perspective-origin: 50% 50%;
|
||||
-ms-perspective-origin: 50% 50%;
|
||||
perspective-origin: 50% 50%;
|
||||
}
|
||||
.reveal .slides section {
|
||||
visibility: visible !important;
|
||||
position: static !important;
|
||||
width: auto !important;
|
||||
height: auto !important;
|
||||
display: block !important;
|
||||
overflow: visible !important;
|
||||
|
||||
left: 0 !important;
|
||||
top: 0 !important;
|
||||
margin-left: 0 !important;
|
||||
margin-top: 0 !important;
|
||||
padding: 60px 20px !important;
|
||||
z-index: auto !important;
|
||||
|
||||
opacity: 1 !important;
|
||||
|
||||
page-break-after: always !important;
|
||||
|
||||
-webkit-transform-style: flat !important;
|
||||
-moz-transform-style: flat !important;
|
||||
-ms-transform-style: flat !important;
|
||||
transform-style: flat !important;
|
||||
|
||||
-webkit-transform: none !important;
|
||||
-moz-transform: none !important;
|
||||
-ms-transform: none !important;
|
||||
transform: none !important;
|
||||
|
||||
-webkit-transition: none !important;
|
||||
-moz-transition: none !important;
|
||||
-ms-transition: none !important;
|
||||
transition: none !important;
|
||||
}
|
||||
.reveal .slides section.stack {
|
||||
padding: 0 !important;
|
||||
}
|
||||
.reveal section:last-of-type {
|
||||
page-break-after: avoid !important;
|
||||
}
|
||||
.reveal section .fragment {
|
||||
opacity: 1 !important;
|
||||
visibility: visible !important;
|
||||
|
||||
-webkit-transform: none !important;
|
||||
-moz-transform: none !important;
|
||||
-ms-transform: none !important;
|
||||
transform: none !important;
|
||||
}
|
||||
.reveal section img {
|
||||
display: block;
|
||||
margin: 15px 0px;
|
||||
background: rgba(255,255,255,1);
|
||||
border: 1px solid #666;
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
.reveal section small {
|
||||
font-size: 0.8em;
|
||||
}
|
||||
|
||||
}
|
||||
@@ -1,178 +0,0 @@
|
||||
/**
|
||||
* This stylesheet is used to print reveal.js
|
||||
* presentations to PDF.
|
||||
*
|
||||
* https://github.com/hakimel/reveal.js#pdf-export
|
||||
*/
|
||||
|
||||
* {
|
||||
-webkit-print-color-adjust: exact;
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0 auto !important;
|
||||
border: 0;
|
||||
padding: 0;
|
||||
float: none !important;
|
||||
overflow: visible;
|
||||
}
|
||||
|
||||
html {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
overflow: visible;
|
||||
}
|
||||
|
||||
/* Remove any elements not needed in print. */
|
||||
.nestedarrow,
|
||||
.reveal .controls,
|
||||
.reveal .progress,
|
||||
.reveal .playback,
|
||||
.reveal.overview,
|
||||
.fork-reveal,
|
||||
.share-reveal,
|
||||
.state-background {
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
h1, h2, h3, h4, h5, h6 {
|
||||
text-shadow: 0 0 0 #000 !important;
|
||||
}
|
||||
|
||||
.reveal pre code {
|
||||
overflow: hidden !important;
|
||||
font-family: Courier, 'Courier New', monospace !important;
|
||||
}
|
||||
|
||||
ul, ol, div, p {
|
||||
visibility: visible;
|
||||
position: static;
|
||||
width: auto;
|
||||
height: auto;
|
||||
display: block;
|
||||
overflow: visible;
|
||||
margin: auto;
|
||||
}
|
||||
.reveal {
|
||||
width: auto !important;
|
||||
height: auto !important;
|
||||
overflow: hidden !important;
|
||||
}
|
||||
.reveal .slides {
|
||||
position: static;
|
||||
width: 100% !important;
|
||||
height: auto !important;
|
||||
zoom: 1 !important;
|
||||
|
||||
left: auto;
|
||||
top: auto;
|
||||
margin: 0 !important;
|
||||
padding: 0 !important;
|
||||
|
||||
overflow: visible;
|
||||
display: block;
|
||||
|
||||
-webkit-perspective: none;
|
||||
-moz-perspective: none;
|
||||
-ms-perspective: none;
|
||||
perspective: none;
|
||||
|
||||
-webkit-perspective-origin: 50% 50%; /* there isn't a none/auto value but 50-50 is the default */
|
||||
-moz-perspective-origin: 50% 50%;
|
||||
-ms-perspective-origin: 50% 50%;
|
||||
perspective-origin: 50% 50%;
|
||||
}
|
||||
|
||||
.reveal .slides .pdf-page {
|
||||
position: relative;
|
||||
overflow: hidden;
|
||||
z-index: 1;
|
||||
|
||||
page-break-after: always;
|
||||
}
|
||||
|
||||
.reveal .slides section {
|
||||
visibility: visible !important;
|
||||
display: block !important;
|
||||
position: absolute !important;
|
||||
|
||||
margin: 0 !important;
|
||||
padding: 0 !important;
|
||||
box-sizing: border-box !important;
|
||||
min-height: 1px;
|
||||
|
||||
opacity: 1 !important;
|
||||
|
||||
-webkit-transform-style: flat !important;
|
||||
-moz-transform-style: flat !important;
|
||||
-ms-transform-style: flat !important;
|
||||
transform-style: flat !important;
|
||||
|
||||
-webkit-transform: none !important;
|
||||
-moz-transform: none !important;
|
||||
-ms-transform: none !important;
|
||||
transform: none !important;
|
||||
}
|
||||
|
||||
.reveal section.stack {
|
||||
position: relative !important;
|
||||
margin: 0 !important;
|
||||
padding: 0 !important;
|
||||
page-break-after: avoid !important;
|
||||
height: auto !important;
|
||||
min-height: auto !important;
|
||||
}
|
||||
|
||||
.reveal img {
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
.reveal .roll {
|
||||
overflow: visible;
|
||||
line-height: 1em;
|
||||
}
|
||||
|
||||
/* Slide backgrounds are placed inside of their slide when exporting to PDF */
|
||||
.reveal .slide-background {
|
||||
display: block !important;
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
z-index: auto !important;
|
||||
}
|
||||
|
||||
/* Display slide speaker notes when 'showNotes' is enabled */
|
||||
.reveal.show-notes {
|
||||
max-width: none;
|
||||
max-height: none;
|
||||
}
|
||||
.reveal .speaker-notes-pdf {
|
||||
display: block;
|
||||
width: 100%;
|
||||
height: auto;
|
||||
max-height: none;
|
||||
top: auto;
|
||||
right: auto;
|
||||
bottom: auto;
|
||||
left: auto;
|
||||
z-index: 100;
|
||||
}
|
||||
|
||||
/* Layout option which makes notes appear on a separate page */
|
||||
.reveal .speaker-notes-pdf[data-layout="separate-page"] {
|
||||
position: relative;
|
||||
color: inherit;
|
||||
background-color: transparent;
|
||||
padding: 20px;
|
||||
page-break-after: always;
|
||||
border: 0;
|
||||
}
|
||||
|
||||
/* Display slide numbers when 'slideNumber' is enabled */
|
||||
.reveal .slide-number-pdf {
|
||||
display: block;
|
||||
position: absolute;
|
||||
font-size: 14px;
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,21 +0,0 @@
|
||||
## Dependencies
|
||||
|
||||
Themes are written using Sass to keep things modular and reduce the need for repeated selectors across files. Make sure that you have the reveal.js development environment including the Grunt dependencies installed before proceeding: https://github.com/hakimel/reveal.js#full-setup
|
||||
|
||||
## Creating a Theme
|
||||
|
||||
To create your own theme, start by duplicating a ```.scss``` file in [/css/theme/source](https://github.com/hakimel/reveal.js/blob/master/css/theme/source). It will be automatically compiled by Grunt from Sass to CSS (see the [Gruntfile](https://github.com/hakimel/reveal.js/blob/master/Gruntfile.js)) when you run `npm run build -- css-themes`.
|
||||
|
||||
Each theme file does four things in the following order:
|
||||
|
||||
1. **Include [/css/theme/template/mixins.scss](https://github.com/hakimel/reveal.js/blob/master/css/theme/template/mixins.scss)**
|
||||
Shared utility functions.
|
||||
|
||||
2. **Include [/css/theme/template/settings.scss](https://github.com/hakimel/reveal.js/blob/master/css/theme/template/settings.scss)**
|
||||
Declares a set of custom variables that the template file (step 4) expects. Can be overridden in step 3.
|
||||
|
||||
3. **Override**
|
||||
This is where you override the default theme. Either by specifying variables (see [settings.scss](https://github.com/hakimel/reveal.js/blob/master/css/theme/template/settings.scss) for reference) or by adding any selectors and styles you please.
|
||||
|
||||
4. **Include [/css/theme/template/theme.scss](https://github.com/hakimel/reveal.js/blob/master/css/theme/template/theme.scss)**
|
||||
The template theme file which will generate final CSS output based on the currently defined variables.
|
||||
@@ -1,154 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Beige theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/* changed (by hpl) from #333; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #f7f2d3;
|
||||
background: -moz-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, white), color-stop(100%, #f7f2d3));
|
||||
background: -webkit-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -o-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background-color: #f7f3de; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #333333; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: rgba(79, 64, 28, 0.99);
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #222222;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0 1px 0 #cccccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbbbbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaaaaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #8b743d;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #c0a86e;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #564826; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #333333;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #8b743d;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #c0a86e; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #8b743d;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #8b743d; }
|
||||
@@ -1,155 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Beige theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/* added/changed by hpl */
|
||||
/* changed (by hpl) from #333; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #f7f2d3;
|
||||
background: -moz-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, white), color-stop(100%, #f7f2d3));
|
||||
background: -webkit-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -o-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background: radial-gradient(center, circle cover, white 0%, #f7f2d3 100%);
|
||||
background-color: #f7f3de; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 25px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #333333; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: rgba(79, 64, 28, 0.99);
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #222222;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0 1px 0 #cccccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbbbbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaaaaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #8b743d;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #c0a86e;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #564826; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #333333;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #8b743d;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #8b743d; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #c0a86e; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #c0a86e; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #8b743d;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #8b743d; }
|
||||
@@ -1,273 +0,0 @@
|
||||
@import url(../../lib/font/source-sans-pro/source-sans-pro.css);
|
||||
/**
|
||||
* Black theme for reveal.js. This is the opposite of the 'white' theme.
|
||||
*
|
||||
* Copyright (C) 2015 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
section.has-light-background, section.has-light-background h1, section.has-light-background h2, section.has-light-background h3, section.has-light-background h4, section.has-light-background h5, section.has-light-background h6 {
|
||||
color: #222; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #222;
|
||||
background-color: #222; }
|
||||
|
||||
.reveal {
|
||||
font-family: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
font-size: 30px; /* changed by hpl from 38px */
|
||||
font-weight: normal;
|
||||
color: #fff; }
|
||||
|
||||
::selection {
|
||||
color: #fff;
|
||||
background: #bee4fd;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal .slides > section, .reveal .slides > section > section {
|
||||
/* removed by hpl: line-height: 1.3; */
|
||||
font-weight: inherit; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1, .reveal h2, .reveal h3, .reveal h4, .reveal h5, .reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #fff;
|
||||
font-family: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
font-weight: 600;
|
||||
line-height: 1.1em; /* changed by hpl from 1.2; */
|
||||
letter-spacing: normal;
|
||||
/* text-transform: uppercase; removed by hpl */
|
||||
text-shadow: none;
|
||||
word-wrap: break-word; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
}
|
||||
|
||||
/* Removed by hpl
|
||||
.reveal h1 {
|
||||
font-size: 2.5em; }
|
||||
|
||||
.reveal h2 {
|
||||
font-size: 1.6em; }
|
||||
|
||||
.reveal h3 {
|
||||
font-size: 1.3em; }
|
||||
|
||||
.reveal h4 {
|
||||
font-size: 1em; }
|
||||
*/
|
||||
|
||||
.reveal h1 {
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* OTHER
|
||||
*********************************************/
|
||||
.reveal p {
|
||||
margin: 20px 0;
|
||||
line-height: 1.3; }
|
||||
|
||||
/* Ensure certain elements are never larger than the slide itself */
|
||||
.reveal img, .reveal video, .reveal iframe {
|
||||
max-width: 95%;
|
||||
max-height: 95%; }
|
||||
|
||||
.reveal strong, .reveal b {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal em {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal ol, .reveal dl, .reveal ul {
|
||||
display: inline-block;
|
||||
text-align: left;
|
||||
margin: 0 0 0 1em; }
|
||||
|
||||
.reveal ol {
|
||||
list-style-type: decimal; }
|
||||
|
||||
.reveal ul {
|
||||
list-style-type: disc; }
|
||||
|
||||
.reveal ul ul {
|
||||
list-style-type: square; }
|
||||
|
||||
.reveal ul ul ul {
|
||||
list-style-type: circle; }
|
||||
|
||||
.reveal ul ul, .reveal ul ol, .reveal ol ol, .reveal ol ul {
|
||||
display: block;
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal dt {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal dd {
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal q, .reveal blockquote {
|
||||
quotes: none; }
|
||||
|
||||
.reveal blockquote {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 70%;
|
||||
margin: 20px auto;
|
||||
padding: 5px;
|
||||
font-style: italic;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
box-shadow: 0px 0px 2px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal blockquote p:first-child, .reveal blockquote p:last-child {
|
||||
display: inline-block; }
|
||||
|
||||
.reveal q {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal pre {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 90%;
|
||||
margin: 20px auto;
|
||||
text-align: left;
|
||||
font-size: 0.55em;
|
||||
font-family: monospace;
|
||||
line-height: 1.2em;
|
||||
word-wrap: break-word;
|
||||
box-shadow: 0px 0px 6px rgba(0, 0, 0, 0.3); }
|
||||
|
||||
.reveal code {
|
||||
font-family: monospace; }
|
||||
|
||||
.reveal pre code {
|
||||
display: block;
|
||||
padding: 5px;
|
||||
overflow: auto;
|
||||
max-height: 400px;
|
||||
word-wrap: normal;
|
||||
background: #3F3F3F;
|
||||
color: #DCDCDC; }
|
||||
|
||||
.reveal table {
|
||||
margin: auto;
|
||||
border-collapse: collapse;
|
||||
border-spacing: 0; }
|
||||
|
||||
.reveal table th {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal table th, .reveal table td {
|
||||
/*text-align: left; */ /* hpl modification */
|
||||
padding: 0.2em 0.5em 0.2em 0.5em;
|
||||
border-bottom: 1px solid; }
|
||||
|
||||
.reveal table th[align="center"], .reveal table td[align="center"] {
|
||||
text-align: center; }
|
||||
|
||||
.reveal table th[align="right"], .reveal table td[align="right"] {
|
||||
text-align: right; }
|
||||
|
||||
.reveal table tr:last-child td {
|
||||
border-bottom: none; }
|
||||
|
||||
.reveal sup {
|
||||
vertical-align: super; }
|
||||
|
||||
.reveal sub {
|
||||
vertical-align: sub; }
|
||||
|
||||
.reveal small {
|
||||
display: inline-block;
|
||||
font-size: 0.6em;
|
||||
line-height: 1.2em;
|
||||
vertical-align: top; }
|
||||
|
||||
.reveal small * {
|
||||
vertical-align: top; }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a {
|
||||
color: #42affa;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color 0.15s ease;
|
||||
-moz-transition: color 0.15s ease;
|
||||
transition: color 0.15s ease; }
|
||||
|
||||
.reveal a:hover {
|
||||
color: #8dcffc;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #068ee9; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #fff;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
.reveal a img {
|
||||
-webkit-transition: all 0.15s linear;
|
||||
-moz-transition: all 0.15s linear;
|
||||
transition: all 0.15s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #42affa;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left, .reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #42affa; }
|
||||
|
||||
.reveal .controls div.navigate-right, .reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #42affa; }
|
||||
|
||||
.reveal .controls div.navigate-up, .reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #42affa; }
|
||||
|
||||
.reveal .controls div.navigate-down, .reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #42affa; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #8dcffc; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #8dcffc; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #8dcffc; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #8dcffc; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #42affa;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #42affa; }
|
||||
@@ -1,180 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Ubuntu:300,700,300italic,700italic);
|
||||
/**
|
||||
* Blood theme for reveal.js
|
||||
* Author: Walther http://github.com/Walther
|
||||
*
|
||||
* Designed to be used with highlight.js theme
|
||||
* "monokai_sublime.css" available from
|
||||
* https://github.com/isagalaev/highlight.js/
|
||||
*
|
||||
* For other themes, change $codeBackground accordingly.
|
||||
*
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #222222;
|
||||
background: -moz-radial-gradient(center, circle cover, #626262 0%, #222222 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, #626262), color-stop(100%, #222222));
|
||||
background: -webkit-radial-gradient(center, circle cover, #626262 0%, #222222 100%);
|
||||
background: -o-radial-gradient(center, circle cover, #626262 0%, #222222 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, #626262 0%, #222222 100%);
|
||||
background: radial-gradient(center, circle cover, #626262 0%, #222222 100%);
|
||||
background-color: #2b2b2b; }
|
||||
|
||||
.reveal {
|
||||
font-family: Ubuntu, "sans-serif";
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #eeeeee; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #aa2233;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eeeeee;
|
||||
font-family: Ubuntu, "sans-serif";
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: 2px 2px 2px #222222; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0 1px 0 #cccccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbbbbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaaaaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #aa2233;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #dd5566;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #6a1520; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #eeeeee;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #aa2233;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #aa2233; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #aa2233; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #aa2233; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #aa2233; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #dd5566; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #dd5566; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #dd5566; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #dd5566; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #aa2233;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #aa2233; }
|
||||
|
||||
.reveal p {
|
||||
font-weight: 300;
|
||||
text-shadow: 1px 1px #222222; }
|
||||
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
font-weight: 700; }
|
||||
|
||||
.reveal a:not(.image),
|
||||
.reveal a:not(.image):hover {
|
||||
text-shadow: 2px 2px 2px #000; }
|
||||
|
||||
.reveal small a:not(.image),
|
||||
.reveal small a:not(.image):hover {
|
||||
text-shadow: 1px 1px 1px #000; }
|
||||
|
||||
.reveal p code {
|
||||
background-color: #23241f;
|
||||
display: inline-block;
|
||||
border-radius: 7px; }
|
||||
|
||||
.reveal small code {
|
||||
vertical-align: baseline; }
|
||||
@@ -1,144 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
|
||||
* Center for Biomedical Computing theme made by Hans Petter Langtangen.
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: white;
|
||||
background-color: white; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #404040; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: rgba(0, 0, 0, 0.99);
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #8a0808;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #8a0808;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #ea0e0e;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #420404; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #404040;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #8a0808;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #8a0808; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #8a0808; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #8a0808; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #8a0808; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #ea0e0e; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #ea0e0e; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #ea0e0e; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #ea0e0e; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #8a0808;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #8a0808; }
|
||||
@@ -1,153 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Default theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #1c1e20;
|
||||
background: -moz-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, #555a5f), color-stop(100%, #1c1e20));
|
||||
background: -webkit-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -o-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background-color: #2b2b2b; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #eeeeee; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #ff5e99;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eeeeee;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0 1px 0 #cccccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbbbbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaaaaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #13daec;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #71e9f4;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #0d99a5; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #eeeeee;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #13daec;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #71e9f4; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #13daec;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #13daec; }
|
||||
@@ -1,153 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Default theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #1c1e20;
|
||||
background: -moz-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, #555a5f), color-stop(100%, #1c1e20));
|
||||
background: -webkit-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -o-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background-color: #2b2b2b; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #eeeeee; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #ff5e99;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eeeeee;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0 1px 0 #cccccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbbbbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaaaaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #13daec;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #71e9f4;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #0d99a5; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #eeeeee;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #13daec;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #13daec; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #71e9f4; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #71e9f4; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #13daec;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #13daec; }
|
||||
@@ -1,279 +0,0 @@
|
||||
@import url(../../lib/font/league-gothic/league-gothic.css);
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* League theme for reveal.js.
|
||||
*
|
||||
* This was the default theme pre-3.0.0.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #1c1e20;
|
||||
background: -moz-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, #555a5f), color-stop(100%, #1c1e20));
|
||||
background: -webkit-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -o-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background: radial-gradient(center, circle cover, #555a5f 0%, #1c1e20 100%);
|
||||
background-color: #2b2b2b; }
|
||||
|
||||
.reveal {
|
||||
font-family: 'Lato', sans-serif;
|
||||
font-size: 30px; /* changed by hpl from 36px */
|
||||
font-weight: normal;
|
||||
color: #eee; }
|
||||
|
||||
::selection {
|
||||
color: #fff;
|
||||
background: #FF5E99;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal .slides > section, .reveal .slides > section > section {
|
||||
/* removed by hpl: line-height: 1.3; */
|
||||
font-weight: inherit; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1, .reveal h2, .reveal h3, .reveal h4, .reveal h5, .reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eee;
|
||||
font-family: 'Helvetica', Impact, sans-serif;
|
||||
font-weight: normal;
|
||||
line-height: 1.1em; /* changed by hpl from 1.2; */
|
||||
letter-spacing: normal;
|
||||
/* text-transform: uppercase; removed by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2);
|
||||
word-wrap: break-word; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
}
|
||||
|
||||
/* removed by hpl:
|
||||
.reveal h1 {
|
||||
font-size: 3.77em; }
|
||||
|
||||
.reveal h2 {
|
||||
font-size: 2.11em; }
|
||||
|
||||
.reveal h3 {
|
||||
font-size: 1.55em; }
|
||||
|
||||
.reveal h4 {
|
||||
font-size: 1em; }
|
||||
*/
|
||||
|
||||
.reveal h1 {
|
||||
text-shadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0, 0, 0, 0.1), 0 0 5px rgba(0, 0, 0, 0.1), 0 1px 3px rgba(0, 0, 0, 0.3), 0 3px 5px rgba(0, 0, 0, 0.2), 0 5px 10px rgba(0, 0, 0, 0.25), 0 20px 20px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
/*********************************************
|
||||
* OTHER
|
||||
*********************************************/
|
||||
.reveal p {
|
||||
margin: 20px 0;
|
||||
line-height: 1.3; }
|
||||
|
||||
/* Ensure certain elements are never larger than the slide itself */
|
||||
.reveal img, .reveal video, .reveal iframe {
|
||||
max-width: 95%;
|
||||
max-height: 95%; }
|
||||
|
||||
.reveal strong, .reveal b {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal em {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal ol, .reveal dl, .reveal ul {
|
||||
display: inline-block;
|
||||
text-align: left;
|
||||
margin: 0 0 0 1em; }
|
||||
|
||||
.reveal ol {
|
||||
list-style-type: decimal; }
|
||||
|
||||
.reveal ul {
|
||||
list-style-type: disc; }
|
||||
|
||||
.reveal ul ul {
|
||||
list-style-type: square; }
|
||||
|
||||
.reveal ul ul ul {
|
||||
list-style-type: circle; }
|
||||
|
||||
.reveal ul ul, .reveal ul ol, .reveal ol ol, .reveal ol ul {
|
||||
display: block;
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal dt {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal dd {
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal q, .reveal blockquote {
|
||||
quotes: none; }
|
||||
|
||||
.reveal blockquote {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 70%;
|
||||
margin: 20px auto;
|
||||
padding: 5px;
|
||||
font-style: italic;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
box-shadow: 0px 0px 2px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal blockquote p:first-child, .reveal blockquote p:last-child {
|
||||
display: inline-block; }
|
||||
|
||||
.reveal q {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal pre {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 90%;
|
||||
margin: 20px auto;
|
||||
text-align: left;
|
||||
font-size: 0.55em;
|
||||
font-family: monospace;
|
||||
line-height: 1.2em;
|
||||
word-wrap: break-word;
|
||||
box-shadow: 0px 0px 6px rgba(0, 0, 0, 0.3); }
|
||||
|
||||
.reveal code {
|
||||
font-family: monospace; }
|
||||
|
||||
.reveal pre code {
|
||||
display: block;
|
||||
padding: 5px;
|
||||
overflow: auto;
|
||||
max-height: 400px;
|
||||
word-wrap: normal;
|
||||
background: #3F3F3F;
|
||||
color: #DCDCDC; }
|
||||
|
||||
.reveal table {
|
||||
margin: auto;
|
||||
border-collapse: collapse;
|
||||
border-spacing: 0; }
|
||||
|
||||
.reveal table th {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal table th, .reveal table td {
|
||||
/* text-align: left; */ /* hpl modification */
|
||||
padding: 0.2em 0.5em 0.2em 0.5em;
|
||||
border-bottom: 1px solid; }
|
||||
|
||||
.reveal table th[align="center"], .reveal table td[align="center"] {
|
||||
text-align: center; }
|
||||
|
||||
.reveal table th[align="right"], .reveal table td[align="right"] {
|
||||
text-align: right; }
|
||||
|
||||
.reveal table tr:last-child td {
|
||||
border-bottom: none; }
|
||||
|
||||
.reveal sup {
|
||||
vertical-align: super; }
|
||||
|
||||
.reveal sub {
|
||||
vertical-align: sub; }
|
||||
|
||||
.reveal small {
|
||||
display: inline-block;
|
||||
font-size: 0.6em;
|
||||
line-height: 1.2em;
|
||||
vertical-align: top; }
|
||||
|
||||
.reveal small * {
|
||||
vertical-align: top; }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a {
|
||||
color: #13DAEC;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color 0.15s ease;
|
||||
-moz-transition: color 0.15s ease;
|
||||
transition: color 0.15s ease; }
|
||||
|
||||
.reveal a:hover {
|
||||
color: #71ebf4;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #0d9ba5; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #eee;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
.reveal a img {
|
||||
-webkit-transition: all 0.15s linear;
|
||||
-moz-transition: all 0.15s linear;
|
||||
transition: all 0.15s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #13DAEC;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left, .reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #13DAEC; }
|
||||
|
||||
.reveal .controls div.navigate-right, .reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #13DAEC; }
|
||||
|
||||
.reveal .controls div.navigate-up, .reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #13DAEC; }
|
||||
|
||||
.reveal .controls div.navigate-down, .reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #13DAEC; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #71ebf4; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #71ebf4; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #71ebf4; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #71ebf4; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #13DAEC;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #13DAEC; }
|
||||
@@ -1,153 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Solarized Dark theme for reveal.js.
|
||||
* Author: Achim Staebler
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/**
|
||||
* Solarized colors by Ethan Schoonover
|
||||
*/
|
||||
html * {
|
||||
color-profile: sRGB;
|
||||
rendering-intent: auto; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #002b36;
|
||||
background-color: #002b36; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #93a1a1; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #d33682;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eee8d5;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #268bd2;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #78b9e6;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #1a6091; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #93a1a1;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #268bd2;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #78b9e6; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #268bd2;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #268bd2; }
|
||||
@@ -1,141 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Montserrat:700);
|
||||
@import url(https://fonts.googleapis.com/css?family=Open+Sans:400,700,400italic,700italic);
|
||||
/**
|
||||
* Black theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #111111;
|
||||
background-color: #111111; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Open Sans", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #eeeeee; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #e7ad52;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #eeeeee;
|
||||
font-family: "Montserrat", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: -0.03em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #e7ad52;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #f3d7ac;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #d08a1d; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #eeeeee;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #e7ad52;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #e7ad52; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #e7ad52; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #e7ad52; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #e7ad52; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #f3d7ac; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #f3d7ac; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #f3d7ac; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #f3d7ac; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #e7ad52;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #e7ad52; }
|
||||
@@ -1,143 +0,0 @@
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is brown.
|
||||
*
|
||||
* This theme is Copyright (C) 2012-2013 Owen Versteeg, http://owenversteeg.com - it is MIT licensed.
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
.reveal a:not(.image) {
|
||||
line-height: 1.3em; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #f0f1eb;
|
||||
background-color: #f0f1eb; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Palatino Linotype", "Book Antiqua", Palatino, FreeSerif, serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: black; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #26351c;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #383d3d;
|
||||
font-family: "Palatino Linotype", "Book Antiqua", Palatino, FreeSerif, serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #51483d;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #8b7c69;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #25211c; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid black;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #51483d;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #51483d; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #51483d; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #51483d; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #51483d; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #8b7c69; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #8b7c69; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #8b7c69; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #8b7c69; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #51483d;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #51483d; }
|
||||
@@ -1,144 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=News+Cycle:400,700);
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
/* changed (by hpl) from 'News Cycle', Impact, sans-serif; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: white;
|
||||
background-color: white; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: black; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: rgba(0, 0, 0, 0.99);
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: black;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: darkblue;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #0000f1;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #00003f; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid black;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: darkblue;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: darkblue; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: darkblue; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: darkblue; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: darkblue; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #0000f1; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #0000f1; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #0000f1; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #0000f1; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: darkblue;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: darkblue; }
|
||||
@@ -1,144 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
|
||||
* Simula theme made by Hans Petter Langtangen.
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: white;
|
||||
background-color: white; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #404040; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: rgba(0, 0, 0, 0.99);
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #ff8800;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #ff8800;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #ffb866;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #b35f00; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #404040;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #ff8800;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #ff8800; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #ff8800; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #ff8800; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #ff8800; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #ffb866; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #ffb866; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #ffb866; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #ffb866; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #ff8800;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #ff8800; }
|
||||
@@ -1,150 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Quicksand:400,700,400italic,700italic);
|
||||
@import url(https://fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700);
|
||||
/**
|
||||
* Sky theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
.reveal a:not(.image) {
|
||||
line-height: 1.3em; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #add9e4;
|
||||
background: -moz-radial-gradient(center, circle cover, #f7fbfc 0%, #add9e4 100%);
|
||||
background: -webkit-gradient(radial, center center, 0px, center center, 100%, color-stop(0%, #f7fbfc), color-stop(100%, #add9e4));
|
||||
background: -webkit-radial-gradient(center, circle cover, #f7fbfc 0%, #add9e4 100%);
|
||||
background: -o-radial-gradient(center, circle cover, #f7fbfc 0%, #add9e4 100%);
|
||||
background: -ms-radial-gradient(center, circle cover, #f7fbfc 0%, #add9e4 100%);
|
||||
background: radial-gradient(center, circle cover, #f7fbfc 0%, #add9e4 100%);
|
||||
background-color: #f7fbfc; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Open Sans", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #333333; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #134674;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #333333;
|
||||
font-family: "Quicksand", sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: -0.08em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #3b759e;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #74a7cb;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #264c66; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #333333;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #3b759e;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #3b759e; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #3b759e; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #3b759e; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #3b759e; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #74a7cb; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #74a7cb; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #74a7cb; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #74a7cb; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #3b759e;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #3b759e; }
|
||||
@@ -1,153 +0,0 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
/**
|
||||
* Solarized Light theme for reveal.js.
|
||||
* Author: Achim Staebler
|
||||
*/
|
||||
/* changed by hpl from 36px; */
|
||||
/* changed by hpl from 'League Gothic', Impact, sans-serif; */
|
||||
/* changed by hpl from uppercase; */
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url("../../lib/font/league_gothic-webfont.eot");
|
||||
src: url("../../lib/font/league_gothic-webfont.eot?#iefix") format("embedded-opentype"), url("../../lib/font/league_gothic-webfont.woff") format("woff"), url("../../lib/font/league_gothic-webfont.ttf") format("truetype"), url("../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular") format("svg");
|
||||
font-weight: normal;
|
||||
font-style: normal; }
|
||||
|
||||
/**
|
||||
* Solarized colors by Ethan Schoonover
|
||||
*/
|
||||
html * {
|
||||
color-profile: sRGB;
|
||||
rendering-intent: auto; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #fdf6e3;
|
||||
background-color: #fdf6e3; }
|
||||
|
||||
.reveal {
|
||||
font-family: "Lato", sans-serif;
|
||||
font-size: 30px;
|
||||
font-weight: normal;
|
||||
letter-spacing: -0.02em;
|
||||
color: #657b83; }
|
||||
|
||||
::selection {
|
||||
color: white;
|
||||
background: #d33682;
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #586e75;
|
||||
font-family: "Helvetica", Impact, sans-serif;
|
||||
line-height: 1.1em; /* changed (by hpl) from 0.9em */
|
||||
letter-spacing: 0.02em;
|
||||
text-transform: none;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
/* added by hpl */
|
||||
text-shadow: 0px 0px 6px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a:not(.image) {
|
||||
color: #268bd2;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color .15s ease;
|
||||
-moz-transition: color .15s ease;
|
||||
-ms-transition: color .15s ease;
|
||||
-o-transition: color .15s ease;
|
||||
transition: color .15s ease; }
|
||||
|
||||
.reveal a:not(.image):hover {
|
||||
color: #78b9e6;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #1a6091; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #657b83;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15);
|
||||
-webkit-transition: all .2s linear;
|
||||
-moz-transition: all .2s linear;
|
||||
-ms-transition: all .2s linear;
|
||||
-o-transition: all .2s linear;
|
||||
transition: all .2s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #268bd2;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left,
|
||||
.reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-right,
|
||||
.reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-up,
|
||||
.reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-down,
|
||||
.reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #268bd2; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #78b9e6; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #78b9e6; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #268bd2;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-ms-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-o-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #268bd2; }
|
||||
@@ -1,50 +0,0 @@
|
||||
/**
|
||||
* Beige theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainColor: #333;
|
||||
$headingColor: #222; /* changed (by hpl) from #333; */
|
||||
$headingTextShadow: none;
|
||||
$backgroundColor: #f7f3de;
|
||||
$linkColor: #8b743d;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: rgba(79, 64, 28, 0.99);
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( rgba(247,242,211,1), rgba(255,255,255,1) );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,51 +0,0 @@
|
||||
/**
|
||||
* Beige theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainColor: #333;
|
||||
$mainFontSize: 25px; /* added/changed by hpl */
|
||||
$headingColor: #222; /* changed (by hpl) from #333; */
|
||||
$headingTextShadow: none;
|
||||
$backgroundColor: #f7f3de;
|
||||
$linkColor: #8b743d;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: rgba(79, 64, 28, 0.99);
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( rgba(247,242,211,1), rgba(255,255,255,1) );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,49 +0,0 @@
|
||||
/**
|
||||
* Black theme for reveal.js. This is the opposite of the 'white' theme.
|
||||
*
|
||||
* By Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(../../lib/font/source-sans-pro/source-sans-pro.css);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$backgroundColor: #222;
|
||||
|
||||
$mainColor: #fff;
|
||||
$headingColor: #fff;
|
||||
|
||||
$mainFontSize: 42px;
|
||||
$mainFont: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
$headingFont: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
$headingTextShadow: none;
|
||||
$headingLetterSpacing: normal;
|
||||
$headingTextTransform: uppercase;
|
||||
$headingFontWeight: 600;
|
||||
$linkColor: #42affa;
|
||||
$linkColorHover: lighten( $linkColor, 15% );
|
||||
$selectionBackgroundColor: lighten( $linkColor, 25% );
|
||||
|
||||
$heading1Size: 2.5em;
|
||||
$heading2Size: 1.6em;
|
||||
$heading3Size: 1.3em;
|
||||
$heading4Size: 1.0em;
|
||||
|
||||
section.has-light-background {
|
||||
&, h1, h2, h3, h4, h5, h6 {
|
||||
color: #222;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,91 +0,0 @@
|
||||
/**
|
||||
* Blood theme for reveal.js
|
||||
* Author: Walther http://github.com/Walther
|
||||
*
|
||||
* Designed to be used with highlight.js theme
|
||||
* "monokai_sublime.css" available from
|
||||
* https://github.com/isagalaev/highlight.js/
|
||||
*
|
||||
* For other themes, change $codeBackground accordingly.
|
||||
*
|
||||
*/
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
// Include theme-specific fonts
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Ubuntu:300,700,300italic,700italic);
|
||||
|
||||
// Colors used in the theme
|
||||
$blood: #a23;
|
||||
$coal: #222;
|
||||
$codeBackground: #23241f;
|
||||
|
||||
// Main text
|
||||
$mainFont: Ubuntu, 'sans-serif';
|
||||
$mainFontSize: 30px;
|
||||
$mainColor: #eee;
|
||||
|
||||
// Headings
|
||||
$headingFont: Ubuntu, 'sans-serif';
|
||||
$headingTextShadow: 2px 2px 2px $coal;
|
||||
|
||||
// h1 shadow, borrowed humbly from
|
||||
// (c) Default theme by Hakim El Hattab
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Links
|
||||
$linkColor: $blood;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
|
||||
// Text selection
|
||||
$selectionBackgroundColor: $blood;
|
||||
$selectionColor: #fff;
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( $coal, lighten( $coal, 25% ) );
|
||||
}
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
|
||||
// some overrides after theme template import
|
||||
|
||||
.reveal p {
|
||||
font-weight: 300;
|
||||
text-shadow: 1px 1px $coal;
|
||||
}
|
||||
|
||||
.reveal h1,
|
||||
.reveal h2,
|
||||
.reveal h3,
|
||||
.reveal h4,
|
||||
.reveal h5,
|
||||
.reveal h6 {
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.reveal a:not(.image),
|
||||
.reveal a:not(.image):hover {
|
||||
text-shadow: 2px 2px 2px #000;
|
||||
}
|
||||
|
||||
.reveal small a:not(.image),
|
||||
.reveal small a:not(.image):hover {
|
||||
text-shadow: 1px 1px 1px #000;
|
||||
}
|
||||
|
||||
.reveal p code {
|
||||
background-color: $codeBackground;
|
||||
display: inline-block;
|
||||
border-radius: 7px;
|
||||
}
|
||||
|
||||
.reveal small code {
|
||||
vertical-align: baseline;
|
||||
}
|
||||
@@ -1,39 +0,0 @@
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
|
||||
* Center for Biomedical Computing theme made by Hans Petter Langtangen.
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainFont: 'Lato', sans-serif;
|
||||
$mainColor: #404040;
|
||||
$headingFont: 'Helvetica', Impact, sans-serif;
|
||||
$headingColor: #8A0808;
|
||||
$headingTextShadow: none;
|
||||
$headingTextTransform: none;
|
||||
$backgroundColor: #fff;
|
||||
$linkColor: #8A0808;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: rgba(0, 0, 0, 0.99);
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,42 +0,0 @@
|
||||
/**
|
||||
* Default theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( rgba(28,30,32,1), rgba(85,90,95,1) );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,42 +0,0 @@
|
||||
/**
|
||||
* Default theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( rgba(28,30,32,1), rgba(85,90,95,1) );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,34 +0,0 @@
|
||||
/**
|
||||
* League theme for reveal.js.
|
||||
*
|
||||
* This was the default theme pre-3.0.0.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(../../lib/font/league-gothic/league-gothic.css);
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$headingTextShadow: 0px 0px 6px rgba(0,0,0,0.2);
|
||||
$heading1TextShadow: 0 1px 0 #ccc, 0 2px 0 #c9c9c9, 0 3px 0 #bbb, 0 4px 0 #b9b9b9, 0 5px 0 #aaa, 0 6px 1px rgba(0,0,0,.1), 0 0 5px rgba(0,0,0,.1), 0 1px 3px rgba(0,0,0,.3), 0 3px 5px rgba(0,0,0,.2), 0 5px 10px rgba(0,0,0,.25), 0 20px 20px rgba(0,0,0,.15);
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( rgba(28,30,32,1), rgba(85,90,95,1) );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,68 +0,0 @@
|
||||
/**
|
||||
* Solarized Dark theme for reveal.js.
|
||||
* Author: Achim Staebler
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
/**
|
||||
* Solarized colors by Ethan Schoonover
|
||||
*/
|
||||
html * {
|
||||
color-profile: sRGB;
|
||||
rendering-intent: auto;
|
||||
}
|
||||
|
||||
// Solarized colors
|
||||
$base03: #002b36;
|
||||
$base02: #073642;
|
||||
$base01: #586e75;
|
||||
$base00: #657b83;
|
||||
$base0: #839496;
|
||||
$base1: #93a1a1;
|
||||
$base2: #eee8d5;
|
||||
$base3: #fdf6e3;
|
||||
$yellow: #b58900;
|
||||
$orange: #cb4b16;
|
||||
$red: #dc322f;
|
||||
$magenta: #d33682;
|
||||
$violet: #6c71c4;
|
||||
$blue: #268bd2;
|
||||
$cyan: #2aa198;
|
||||
$green: #859900;
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainColor: $base1;
|
||||
$headingColor: $base2;
|
||||
$headingTextShadow: none;
|
||||
$backgroundColor: $base03;
|
||||
$linkColor: $blue;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: $magenta;
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,35 +0,0 @@
|
||||
/**
|
||||
* Black theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(https://fonts.googleapis.com/css?family=Montserrat:700);
|
||||
@import url(https://fonts.googleapis.com/css?family=Open+Sans:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$backgroundColor: #111;
|
||||
|
||||
$mainFont: 'Open Sans', sans-serif;
|
||||
$linkColor: #e7ad52;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$headingFont: 'Montserrat', Impact, sans-serif;
|
||||
$headingTextShadow: none;
|
||||
$headingLetterSpacing: -0.03em;
|
||||
$headingTextTransform: none;
|
||||
$selectionBackgroundColor: #e7ad52;
|
||||
$mainFontSize: 30px;
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,35 +0,0 @@
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is brown.
|
||||
*
|
||||
* This theme is Copyright (C) 2012-2013 Owen Versteeg, http://owenversteeg.com - it is MIT licensed.
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainFont: 'Palatino Linotype', 'Book Antiqua', Palatino, FreeSerif, serif;
|
||||
$mainColor: #000;
|
||||
$headingFont: 'Palatino Linotype', 'Book Antiqua', Palatino, FreeSerif, serif;
|
||||
$headingColor: #383D3D;
|
||||
$headingTextShadow: none;
|
||||
$headingTextTransform: none;
|
||||
$backgroundColor: #F0F1EB;
|
||||
$linkColor: #51483D;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: #26351C;
|
||||
|
||||
.reveal a:not(.image) {
|
||||
line-height: 1.3em;
|
||||
}
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,38 +0,0 @@
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(https://fonts.googleapis.com/css?family=News+Cycle:400,700);
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainFont: 'Lato', sans-serif;
|
||||
$mainColor: #000;
|
||||
$headingFont: 'Helvetica', Impact, sans-serif; /* changed (by hpl) from 'News Cycle', Impact, sans-serif; */
|
||||
$headingColor: #000;
|
||||
$headingTextShadow: none;
|
||||
$headingTextTransform: none;
|
||||
$backgroundColor: #fff;
|
||||
$linkColor: #00008B;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: rgba(0, 0, 0, 0.99);
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,39 +0,0 @@
|
||||
/**
|
||||
* A simple theme for reveal.js presentations, similar
|
||||
* to the default theme. The accent color is darkblue.
|
||||
*
|
||||
* This theme is Copyright (C) 2012 Owen Versteeg, https://github.com/StereotypicalApps. It is MIT licensed.
|
||||
* reveal.js is Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
|
||||
* Simula theme made by Hans Petter Langtangen.
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainFont: 'Lato', sans-serif;
|
||||
$mainColor: #404040;
|
||||
$headingFont: 'Helvetica', Impact, sans-serif;
|
||||
$headingColor: #ff8800;
|
||||
$headingTextShadow: none;
|
||||
$headingTextTransform: none;
|
||||
$backgroundColor: #fff;
|
||||
$linkColor: #ff8800;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: rgba(0, 0, 0, 0.99);
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,46 +0,0 @@
|
||||
/**
|
||||
* Sky theme for reveal.js.
|
||||
*
|
||||
* Copyright (C) 2011-2012 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(https://fonts.googleapis.com/css?family=Quicksand:400,700,400italic,700italic);
|
||||
@import url(https://fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainFont: 'Open Sans', sans-serif;
|
||||
$mainColor: #333;
|
||||
$headingFont: 'Quicksand', sans-serif;
|
||||
$headingColor: #333;
|
||||
$headingLetterSpacing: -0.08em;
|
||||
$headingTextShadow: none;
|
||||
$backgroundColor: #f7fbfc;
|
||||
$linkColor: #3b759e;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: #134674;
|
||||
|
||||
// Fix links so they are not cut off
|
||||
.reveal a:not(.image) {
|
||||
line-height: 1.3em;
|
||||
}
|
||||
|
||||
// Background generator
|
||||
@mixin bodyBackground() {
|
||||
@include radial-gradient( #add9e4, #f7fbfc );
|
||||
}
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,74 +0,0 @@
|
||||
/**
|
||||
* Solarized Light theme for reveal.js.
|
||||
* Author: Achim Staebler
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('../../lib/font/league_gothic-webfont.eot');
|
||||
src: url('../../lib/font/league_gothic-webfont.eot?#iefix') format('embedded-opentype'),
|
||||
url('../../lib/font/league_gothic-webfont.woff') format('woff'),
|
||||
url('../../lib/font/league_gothic-webfont.ttf') format('truetype'),
|
||||
url('../../lib/font/league_gothic-webfont.svg#LeagueGothicRegular') format('svg');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
|
||||
@import url(https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic);
|
||||
|
||||
|
||||
/**
|
||||
* Solarized colors by Ethan Schoonover
|
||||
*/
|
||||
html * {
|
||||
color-profile: sRGB;
|
||||
rendering-intent: auto;
|
||||
}
|
||||
|
||||
// Solarized colors
|
||||
$base03: #002b36;
|
||||
$base02: #073642;
|
||||
$base01: #586e75;
|
||||
$base00: #657b83;
|
||||
$base0: #839496;
|
||||
$base1: #93a1a1;
|
||||
$base2: #eee8d5;
|
||||
$base3: #fdf6e3;
|
||||
$yellow: #b58900;
|
||||
$orange: #cb4b16;
|
||||
$red: #dc322f;
|
||||
$magenta: #d33682;
|
||||
$violet: #6c71c4;
|
||||
$blue: #268bd2;
|
||||
$cyan: #2aa198;
|
||||
$green: #859900;
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$mainColor: $base00;
|
||||
$headingColor: $base01;
|
||||
$headingTextShadow: none;
|
||||
$backgroundColor: $base3;
|
||||
$linkColor: $blue;
|
||||
$linkColorHover: lighten( $linkColor, 20% );
|
||||
$selectionBackgroundColor: $magenta;
|
||||
|
||||
// Background generator
|
||||
// @mixin bodyBackground() {
|
||||
// @include radial-gradient( rgba($base3,1), rgba(lighten($base3, 20%),1) );
|
||||
// }
|
||||
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,49 +0,0 @@
|
||||
/**
|
||||
* White theme for reveal.js. This is the opposite of the 'black' theme.
|
||||
*
|
||||
* By Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
|
||||
|
||||
// Default mixins and settings -----------------
|
||||
@import "../template/mixins";
|
||||
@import "../template/settings";
|
||||
// ---------------------------------------------
|
||||
|
||||
|
||||
// Include theme-specific fonts
|
||||
@import url(../../lib/font/source-sans-pro/source-sans-pro.css);
|
||||
|
||||
|
||||
// Override theme settings (see ../template/settings.scss)
|
||||
$backgroundColor: #fff;
|
||||
|
||||
$mainColor: #222;
|
||||
$headingColor: #222;
|
||||
|
||||
$mainFontSize: 42px;
|
||||
$mainFont: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
$headingFont: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
$headingTextShadow: none;
|
||||
$headingLetterSpacing: normal;
|
||||
$headingTextTransform: uppercase;
|
||||
$headingFontWeight: 600;
|
||||
$linkColor: #2a76dd;
|
||||
$linkColorHover: lighten( $linkColor, 15% );
|
||||
$selectionBackgroundColor: lighten( $linkColor, 25% );
|
||||
|
||||
$heading1Size: 2.5em;
|
||||
$heading2Size: 1.6em;
|
||||
$heading3Size: 1.3em;
|
||||
$heading4Size: 1.0em;
|
||||
|
||||
section.has-dark-background {
|
||||
&, h1, h2, h3, h4, h5, h6 {
|
||||
color: #fff;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Theme template ------------------------------
|
||||
@import "../template/theme";
|
||||
// ---------------------------------------------
|
||||
@@ -1,273 +0,0 @@
|
||||
@import url(../../lib/font/source-sans-pro/source-sans-pro.css);
|
||||
/**
|
||||
* White theme for reveal.js. This is the opposite of the 'black' theme.
|
||||
*
|
||||
* Copyright (C) 2015 Hakim El Hattab, http://hakim.se
|
||||
*/
|
||||
section.has-dark-background, section.has-dark-background h1, section.has-dark-background h2, section.has-dark-background h3, section.has-dark-background h4, section.has-dark-background h5, section.has-dark-background h6 {
|
||||
color: #fff; }
|
||||
|
||||
/*********************************************
|
||||
* GLOBAL STYLES
|
||||
*********************************************/
|
||||
body {
|
||||
background: #fff;
|
||||
background-color: #fff; }
|
||||
|
||||
.reveal {
|
||||
font-family: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
font-size: 30px; /* changed by hpl from 38px */
|
||||
font-weight: normal;
|
||||
color: #222; }
|
||||
|
||||
::selection {
|
||||
color: #fff;
|
||||
background: #98bdef;
|
||||
text-shadow: none; }
|
||||
|
||||
.reveal .slides > section, .reveal .slides > section > section {
|
||||
line-height: 1.1em; /* changed by hpl from 1.2; */
|
||||
font-weight: inherit; }
|
||||
|
||||
/*********************************************
|
||||
* HEADERS
|
||||
*********************************************/
|
||||
.reveal h1, .reveal h2, .reveal h3, .reveal h4, .reveal h5, .reveal h6 {
|
||||
margin: 0 0 20px 0;
|
||||
color: #222;
|
||||
font-family: 'Source Sans Pro', Helvetica, sans-serif;
|
||||
font-weight: 600;
|
||||
line-height: 1.1em; /* changed by hpl from 1.2; */
|
||||
letter-spacing: normal;
|
||||
/* text-transform: uppercase; removed by hpl */
|
||||
text-shadow: none;
|
||||
word-wrap: break-word; }
|
||||
|
||||
.reveal h1 {
|
||||
line-height: 1.2em;
|
||||
}
|
||||
|
||||
/* removed by hpl
|
||||
.reveal h1 {
|
||||
font-size: 2.5em; }
|
||||
|
||||
.reveal h2 {
|
||||
font-size: 1.6em; }
|
||||
|
||||
.reveal h3 {
|
||||
font-size: 1.3em; }
|
||||
|
||||
.reveal h4 {
|
||||
font-size: 1em; }
|
||||
*/
|
||||
|
||||
.reveal h1 {
|
||||
text-shadow: none; }
|
||||
|
||||
/*********************************************
|
||||
* OTHER
|
||||
*********************************************/
|
||||
.reveal p {
|
||||
margin: 20px 0;
|
||||
line-height: 1.3; }
|
||||
|
||||
/* Ensure certain elements are never larger than the slide itself */
|
||||
.reveal img, .reveal video, .reveal iframe {
|
||||
max-width: 95%;
|
||||
max-height: 95%; }
|
||||
|
||||
.reveal strong, .reveal b {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal em {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal ol, .reveal dl, .reveal ul {
|
||||
display: inline-block;
|
||||
text-align: left;
|
||||
margin: 0 0 0 1em; }
|
||||
|
||||
.reveal ol {
|
||||
list-style-type: decimal; }
|
||||
|
||||
.reveal ul {
|
||||
list-style-type: disc; }
|
||||
|
||||
.reveal ul ul {
|
||||
list-style-type: square; }
|
||||
|
||||
.reveal ul ul ul {
|
||||
list-style-type: circle; }
|
||||
|
||||
.reveal ul ul, .reveal ul ol, .reveal ol ol, .reveal ol ul {
|
||||
display: block;
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal dt {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal dd {
|
||||
margin-left: 40px; }
|
||||
|
||||
.reveal q, .reveal blockquote {
|
||||
quotes: none; }
|
||||
|
||||
.reveal blockquote {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 70%;
|
||||
margin: 20px auto;
|
||||
padding: 5px;
|
||||
font-style: italic;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
box-shadow: 0px 0px 2px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal blockquote p:first-child, .reveal blockquote p:last-child {
|
||||
display: inline-block; }
|
||||
|
||||
.reveal q {
|
||||
font-style: italic; }
|
||||
|
||||
.reveal pre {
|
||||
display: block;
|
||||
position: relative;
|
||||
width: 90%;
|
||||
margin: 20px auto;
|
||||
text-align: left;
|
||||
font-size: 0.55em;
|
||||
font-family: monospace;
|
||||
line-height: 1.2em;
|
||||
word-wrap: break-word;
|
||||
box-shadow: 0px 0px 6px rgba(0, 0, 0, 0.3); }
|
||||
|
||||
.reveal code {
|
||||
font-family: monospace; }
|
||||
|
||||
.reveal pre code {
|
||||
display: block;
|
||||
padding: 5px;
|
||||
overflow: auto;
|
||||
max-height: 400px;
|
||||
word-wrap: normal;
|
||||
background: #3F3F3F;
|
||||
color: #DCDCDC; }
|
||||
|
||||
.reveal table {
|
||||
margin: auto;
|
||||
border-collapse: collapse;
|
||||
border-spacing: 0; }
|
||||
|
||||
.reveal table th {
|
||||
font-weight: bold; }
|
||||
|
||||
.reveal table th, .reveal table td {
|
||||
/* text-align: left; */ /* hpl modification */
|
||||
padding: 0.2em 0.5em 0.2em 0.5em;
|
||||
border-bottom: 1px solid; }
|
||||
|
||||
.reveal table th[align="center"], .reveal table td[align="center"] {
|
||||
text-align: center; }
|
||||
|
||||
.reveal table th[align="right"], .reveal table td[align="right"] {
|
||||
text-align: right; }
|
||||
|
||||
.reveal table tr:last-child td {
|
||||
border-bottom: none; }
|
||||
|
||||
.reveal sup {
|
||||
vertical-align: super; }
|
||||
|
||||
.reveal sub {
|
||||
vertical-align: sub; }
|
||||
|
||||
.reveal small {
|
||||
display: inline-block;
|
||||
font-size: 0.6em;
|
||||
line-height: 1.2em;
|
||||
vertical-align: top; }
|
||||
|
||||
.reveal small * {
|
||||
vertical-align: top; }
|
||||
|
||||
/*********************************************
|
||||
* LINKS
|
||||
*********************************************/
|
||||
.reveal a {
|
||||
color: #2a76dd;
|
||||
text-decoration: none;
|
||||
-webkit-transition: color 0.15s ease;
|
||||
-moz-transition: color 0.15s ease;
|
||||
transition: color 0.15s ease; }
|
||||
|
||||
.reveal a:hover {
|
||||
color: #6ca2e8;
|
||||
text-shadow: none;
|
||||
border: none; }
|
||||
|
||||
.reveal .roll span:after {
|
||||
color: #fff;
|
||||
background: #1a54a1; }
|
||||
|
||||
/*********************************************
|
||||
* IMAGES
|
||||
*********************************************/
|
||||
.reveal section img {
|
||||
margin: 15px 0px;
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border: 4px solid #222;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.15); }
|
||||
|
||||
.reveal a img {
|
||||
-webkit-transition: all 0.15s linear;
|
||||
-moz-transition: all 0.15s linear;
|
||||
transition: all 0.15s linear; }
|
||||
|
||||
.reveal a:hover img {
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
border-color: #2a76dd;
|
||||
box-shadow: 0 0 20px rgba(0, 0, 0, 0.55); }
|
||||
|
||||
/*********************************************
|
||||
* NAVIGATION CONTROLS
|
||||
*********************************************/
|
||||
.reveal .controls div.navigate-left, .reveal .controls div.navigate-left.enabled {
|
||||
border-right-color: #2a76dd; }
|
||||
|
||||
.reveal .controls div.navigate-right, .reveal .controls div.navigate-right.enabled {
|
||||
border-left-color: #2a76dd; }
|
||||
|
||||
.reveal .controls div.navigate-up, .reveal .controls div.navigate-up.enabled {
|
||||
border-bottom-color: #2a76dd; }
|
||||
|
||||
.reveal .controls div.navigate-down, .reveal .controls div.navigate-down.enabled {
|
||||
border-top-color: #2a76dd; }
|
||||
|
||||
.reveal .controls div.navigate-left.enabled:hover {
|
||||
border-right-color: #6ca2e8; }
|
||||
|
||||
.reveal .controls div.navigate-right.enabled:hover {
|
||||
border-left-color: #6ca2e8; }
|
||||
|
||||
.reveal .controls div.navigate-up.enabled:hover {
|
||||
border-bottom-color: #6ca2e8; }
|
||||
|
||||
.reveal .controls div.navigate-down.enabled:hover {
|
||||
border-top-color: #6ca2e8; }
|
||||
|
||||
/*********************************************
|
||||
* PROGRESS BAR
|
||||
*********************************************/
|
||||
.reveal .progress {
|
||||
background: rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.reveal .progress span {
|
||||
background: #2a76dd;
|
||||
-webkit-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
-moz-transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985);
|
||||
transition: width 800ms cubic-bezier(0.26, 0.86, 0.44, 0.985); }
|
||||
|
||||
/*********************************************
|
||||
* SLIDE NUMBER
|
||||
*********************************************/
|
||||
.reveal .slide-number {
|
||||
color: #2a76dd; }
|
||||
@@ -1,410 +0,0 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
|
||||
<title>reveal.js – The HTML Presentation Framework</title>
|
||||
|
||||
<meta name="description" content="A framework for easily creating beautiful presentations using HTML">
|
||||
<meta name="author" content="Hakim El Hattab">
|
||||
|
||||
<meta name="apple-mobile-web-app-capable" content="yes">
|
||||
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
|
||||
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
|
||||
|
||||
<link rel="stylesheet" href="css/reveal.css">
|
||||
<link rel="stylesheet" href="css/theme/black.css" id="theme">
|
||||
|
||||
<!-- Theme used for syntax highlighting of code -->
|
||||
<link rel="stylesheet" href="lib/css/zenburn.css">
|
||||
|
||||
<!-- Printing and PDF exports -->
|
||||
<script>
|
||||
var link = document.createElement( 'link' );
|
||||
link.rel = 'stylesheet';
|
||||
link.type = 'text/css';
|
||||
link.href = window.location.search.match( /print-pdf/gi ) ? 'css/print/pdf.css' : 'css/print/paper.css';
|
||||
document.getElementsByTagName( 'head' )[0].appendChild( link );
|
||||
</script>
|
||||
|
||||
<!--[if lt IE 9]>
|
||||
<script src="lib/js/html5shiv.js"></script>
|
||||
<![endif]-->
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<div class="reveal">
|
||||
|
||||
<!-- Any section element inside of this container is displayed as a slide -->
|
||||
<div class="slides">
|
||||
<section>
|
||||
<h1>Reveal.js</h1>
|
||||
<h3>The HTML Presentation Framework</h3>
|
||||
<p>
|
||||
<small>Created by <a href="http://hakim.se">Hakim El Hattab</a> and <a href="https://github.com/hakimel/reveal.js/graphs/contributors">contributors</a></small>
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Hello There</h2>
|
||||
<p>
|
||||
reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<!-- Example of nested vertical slides -->
|
||||
<section>
|
||||
<section>
|
||||
<h2>Vertical Slides</h2>
|
||||
<p>Slides can be nested inside of each other.</p>
|
||||
<p>Use the <em>Space</em> key to navigate through all slides.</p>
|
||||
<br>
|
||||
<a href="#" class="navigate-down">
|
||||
<img width="178" height="238" data-src="https://s3.amazonaws.com/hakim-static/reveal-js/arrow.png" alt="Down arrow">
|
||||
</a>
|
||||
</section>
|
||||
<section>
|
||||
<h2>Basement Level 1</h2>
|
||||
<p>Nested slides are useful for adding additional detail underneath a high level horizontal slide.</p>
|
||||
</section>
|
||||
<section>
|
||||
<h2>Basement Level 2</h2>
|
||||
<p>That's it, time to go back up.</p>
|
||||
<br>
|
||||
<a href="#/2">
|
||||
<img width="178" height="238" data-src="https://s3.amazonaws.com/hakim-static/reveal-js/arrow.png" alt="Up arrow" style="transform: rotate(180deg); -webkit-transform: rotate(180deg);">
|
||||
</a>
|
||||
</section>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Slides</h2>
|
||||
<p>
|
||||
Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at <a href="https://slides.com" target="_blank">https://slides.com</a>.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Point of View</h2>
|
||||
<p>
|
||||
Press <strong>ESC</strong> to enter the slide overview.
|
||||
</p>
|
||||
<p>
|
||||
Hold down alt and click on any element to zoom in on it using <a href="http://lab.hakim.se/zoom-js">zoom.js</a>. Alt + click anywhere to zoom back out.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Touch Optimized</h2>
|
||||
<p>
|
||||
Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section data-markdown>
|
||||
<script type="text/template">
|
||||
## Markdown support
|
||||
|
||||
Write content using inline or external Markdown.
|
||||
Instructions and more info available in the [readme](https://github.com/hakimel/reveal.js#markdown).
|
||||
|
||||
```
|
||||
<section data-markdown>
|
||||
## Markdown support
|
||||
|
||||
Write content using inline or external Markdown.
|
||||
Instructions and more info available in the [readme](https://github.com/hakimel/reveal.js#markdown).
|
||||
</section>
|
||||
```
|
||||
</script>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<section id="fragments">
|
||||
<h2>Fragments</h2>
|
||||
<p>Hit the next arrow...</p>
|
||||
<p class="fragment">... to step through ...</p>
|
||||
<p><span class="fragment">... a</span> <span class="fragment">fragmented</span> <span class="fragment">slide.</span></p>
|
||||
|
||||
<aside class="notes">
|
||||
This slide has fragments which are also stepped through in the notes window.
|
||||
</aside>
|
||||
</section>
|
||||
<section>
|
||||
<h2>Fragment Styles</h2>
|
||||
<p>There's different types of fragments, like:</p>
|
||||
<p class="fragment grow">grow</p>
|
||||
<p class="fragment shrink">shrink</p>
|
||||
<p class="fragment fade-out">fade-out</p>
|
||||
<p class="fragment fade-up">fade-up (also down, left and right!)</p>
|
||||
<p class="fragment current-visible">current-visible</p>
|
||||
<p>Highlight <span class="fragment highlight-red">red</span> <span class="fragment highlight-blue">blue</span> <span class="fragment highlight-green">green</span></p>
|
||||
</section>
|
||||
</section>
|
||||
|
||||
<section id="transitions">
|
||||
<h2>Transition Styles</h2>
|
||||
<p>
|
||||
You can select from different transitions, like: <br>
|
||||
<a href="?transition=none#/transitions">None</a> -
|
||||
<a href="?transition=fade#/transitions">Fade</a> -
|
||||
<a href="?transition=slide#/transitions">Slide</a> -
|
||||
<a href="?transition=convex#/transitions">Convex</a> -
|
||||
<a href="?transition=concave#/transitions">Concave</a> -
|
||||
<a href="?transition=zoom#/transitions">Zoom</a>
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section id="themes">
|
||||
<h2>Themes</h2>
|
||||
<p>
|
||||
reveal.js comes with a few themes built in: <br>
|
||||
<!-- Hacks to swap themes after the page has loaded. Not flexible and only intended for the reveal.js demo deck. -->
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/black.css'); return false;">Black (default)</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/white.css'); return false;">White</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/league.css'); return false;">League</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/sky.css'); return false;">Sky</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/beige.css'); return false;">Beige</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/simple.css'); return false;">Simple</a> <br>
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/serif.css'); return false;">Serif</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/blood.css'); return false;">Blood</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/night.css'); return false;">Night</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/moon.css'); return false;">Moon</a> -
|
||||
<a href="#" onclick="document.getElementById('theme').setAttribute('href','css/theme/solarized.css'); return false;">Solarized</a>
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<section data-background="#dddddd">
|
||||
<h2>Slide Backgrounds</h2>
|
||||
<p>
|
||||
Set <code>data-background="#dddddd"</code> on a slide to change the background color. All CSS color formats are supported.
|
||||
</p>
|
||||
<a href="#" class="navigate-down">
|
||||
<img width="178" height="238" data-src="https://s3.amazonaws.com/hakim-static/reveal-js/arrow.png" alt="Down arrow">
|
||||
</a>
|
||||
</section>
|
||||
<section data-background="https://s3.amazonaws.com/hakim-static/reveal-js/image-placeholder.png">
|
||||
<h2>Image Backgrounds</h2>
|
||||
<pre><code class="hljs"><section data-background="image.png"></code></pre>
|
||||
</section>
|
||||
<section data-background="https://s3.amazonaws.com/hakim-static/reveal-js/image-placeholder.png" data-background-repeat="repeat" data-background-size="100px">
|
||||
<h2>Tiled Backgrounds</h2>
|
||||
<pre><code class="hljs" style="word-wrap: break-word;"><section data-background="image.png" data-background-repeat="repeat" data-background-size="100px"></code></pre>
|
||||
</section>
|
||||
<section data-background-video="https://s3.amazonaws.com/static.slid.es/site/homepage/v1/homepage-video-editor.mp4,https://s3.amazonaws.com/static.slid.es/site/homepage/v1/homepage-video-editor.webm" data-background-color="#000000">
|
||||
<div style="background-color: rgba(0, 0, 0, 0.9); color: #fff; padding: 20px;">
|
||||
<h2>Video Backgrounds</h2>
|
||||
<pre><code class="hljs" style="word-wrap: break-word;"><section data-background-video="video.mp4,video.webm"></code></pre>
|
||||
</div>
|
||||
</section>
|
||||
<section data-background="http://i.giphy.com/90F8aUepslB84.gif">
|
||||
<h2>... and GIFs!</h2>
|
||||
</section>
|
||||
</section>
|
||||
|
||||
<section data-transition="slide" data-background="#4d7e65" data-background-transition="zoom">
|
||||
<h2>Background Transitions</h2>
|
||||
<p>
|
||||
Different background transitions are available via the backgroundTransition option. This one's called "zoom".
|
||||
</p>
|
||||
<pre><code class="hljs">Reveal.configure({ backgroundTransition: 'zoom' })</code></pre>
|
||||
</section>
|
||||
|
||||
<section data-transition="slide" data-background="#b5533c" data-background-transition="zoom">
|
||||
<h2>Background Transitions</h2>
|
||||
<p>
|
||||
You can override background transitions per-slide.
|
||||
</p>
|
||||
<pre><code class="hljs" style="word-wrap: break-word;"><section data-background-transition="zoom"></code></pre>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Pretty Code</h2>
|
||||
<pre><code class="hljs" data-trim contenteditable>
|
||||
function linkify( selector ) {
|
||||
if( supports3DTransforms ) {
|
||||
|
||||
var nodes = document.querySelectorAll( selector );
|
||||
|
||||
for( var i = 0, len = nodes.length; i < len; i++ ) {
|
||||
var node = nodes[i];
|
||||
|
||||
if( !node.className ) {
|
||||
node.className += ' roll';
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
</code></pre>
|
||||
<p>Code syntax highlighting courtesy of <a href="http://softwaremaniacs.org/soft/highlight/en/description/">highlight.js</a>.</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Marvelous List</h2>
|
||||
<ul>
|
||||
<li>No order here</li>
|
||||
<li>Or here</li>
|
||||
<li>Or here</li>
|
||||
<li>Or here</li>
|
||||
</ul>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Fantastic Ordered List</h2>
|
||||
<ol>
|
||||
<li>One is smaller than...</li>
|
||||
<li>Two is smaller than...</li>
|
||||
<li>Three!</li>
|
||||
</ol>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Tabular Tables</h2>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Item</th>
|
||||
<th>Value</th>
|
||||
<th>Quantity</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>Apples</td>
|
||||
<td>$1</td>
|
||||
<td>7</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Lemonade</td>
|
||||
<td>$2</td>
|
||||
<td>18</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Bread</td>
|
||||
<td>$3</td>
|
||||
<td>2</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Clever Quotes</h2>
|
||||
<p>
|
||||
These guys come in two forms, inline: <q cite="http://searchservervirtualization.techtarget.com/definition/Our-Favorite-Technology-Quotations">The nice thing about standards is that there are so many to choose from</q> and block:
|
||||
</p>
|
||||
<blockquote cite="http://searchservervirtualization.techtarget.com/definition/Our-Favorite-Technology-Quotations">
|
||||
“For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
|
||||
reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
|
||||
</blockquote>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Intergalactic Interconnections</h2>
|
||||
<p>
|
||||
You can link between slides internally,
|
||||
<a href="#/2/3">like this</a>.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Speaker View</h2>
|
||||
<p>There's a <a href="https://github.com/hakimel/reveal.js#speaker-notes">speaker view</a>. It includes a timer, preview of the upcoming slide as well as your speaker notes.</p>
|
||||
<p>Press the <em>S</em> key to try it out.</p>
|
||||
|
||||
<aside class="notes">
|
||||
Oh hey, these are some notes. They'll be hidden in your presentation, but you can see them if you open the speaker notes window (hit 's' on your keyboard).
|
||||
</aside>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Export to PDF</h2>
|
||||
<p>Presentations can be <a href="https://github.com/hakimel/reveal.js#pdf-export">exported to PDF</a>, here's an example:</p>
|
||||
<iframe data-src="https://www.slideshare.net/slideshow/embed_code/42840540" width="445" height="355" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:3px solid #666; margin-bottom:5px; max-width: 100%;" allowfullscreen> </iframe>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Global State</h2>
|
||||
<p>
|
||||
Set <code>data-state="something"</code> on a slide and <code>"something"</code>
|
||||
will be added as a class to the document element when the slide is open. This lets you
|
||||
apply broader style changes, like switching the page background.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section data-state="customevent">
|
||||
<h2>State Events</h2>
|
||||
<p>
|
||||
Additionally custom events can be triggered on a per slide basis by binding to the <code>data-state</code> name.
|
||||
</p>
|
||||
<pre><code class="javascript" data-trim contenteditable style="font-size: 18px;">
|
||||
Reveal.addEventListener( 'customevent', function() {
|
||||
console.log( '"customevent" has fired' );
|
||||
} );
|
||||
</code></pre>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Take a Moment</h2>
|
||||
<p>
|
||||
Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
|
||||
</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2>Much more</h2>
|
||||
<ul>
|
||||
<li>Right-to-left support</li>
|
||||
<li><a href="https://github.com/hakimel/reveal.js#api">Extensive JavaScript API</a></li>
|
||||
<li><a href="https://github.com/hakimel/reveal.js#auto-sliding">Auto-progression</a></li>
|
||||
<li><a href="https://github.com/hakimel/reveal.js#parallax-background">Parallax backgrounds</a></li>
|
||||
<li><a href="https://github.com/hakimel/reveal.js#keyboard-bindings">Custom keyboard bindings</a></li>
|
||||
</ul>
|
||||
</section>
|
||||
|
||||
<section style="text-align: left;">
|
||||
<h1>THE END</h1>
|
||||
<p>
|
||||
- <a href="https://slides.com">Try the online editor</a> <br>
|
||||
- <a href="https://github.com/hakimel/reveal.js">Source code & documentation</a>
|
||||
</p>
|
||||
</section>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
<script src="lib/js/head.min.js"></script>
|
||||
<script src="js/reveal.js"></script>
|
||||
|
||||
<script>
|
||||
|
||||
// More info https://github.com/hakimel/reveal.js#configuration
|
||||
Reveal.initialize({
|
||||
controls: true,
|
||||
progress: true,
|
||||
history: true,
|
||||
center: true,
|
||||
|
||||
transition: 'slide', // none/fade/slide/convex/concave/zoom
|
||||
|
||||
// More info https://github.com/hakimel/reveal.js#dependencies
|
||||
dependencies: [
|
||||
{ src: 'lib/js/classList.js', condition: function() { return !document.body.classList; } },
|
||||
{ src: 'plugin/markdown/marked.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
|
||||
{ src: 'plugin/markdown/markdown.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
|
||||
{ src: 'plugin/highlight/highlight.js', async: true, callback: function() { hljs.initHighlightingOnLoad(); } },
|
||||
{ src: 'plugin/search/search.js', async: true },
|
||||
{ src: 'plugin/zoom-js/zoom.js', async: true },
|
||||
{ src: 'plugin/notes/notes.js', async: true }
|
||||
]
|
||||
});
|
||||
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,49 +0,0 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
|
||||
|
||||
<title>reveal.js</title>
|
||||
|
||||
<link rel="stylesheet" href="css/reveal.css">
|
||||
<link rel="stylesheet" href="css/theme/black.css">
|
||||
|
||||
<!-- Theme used for syntax highlighting of code -->
|
||||
<link rel="stylesheet" href="lib/css/zenburn.css">
|
||||
|
||||
<!-- Printing and PDF exports -->
|
||||
<script>
|
||||
var link = document.createElement( 'link' );
|
||||
link.rel = 'stylesheet';
|
||||
link.type = 'text/css';
|
||||
link.href = window.location.search.match( /print-pdf/gi ) ? 'css/print/pdf.css' : 'css/print/paper.css';
|
||||
document.getElementsByTagName( 'head' )[0].appendChild( link );
|
||||
</script>
|
||||
</head>
|
||||
<body>
|
||||
<div class="reveal">
|
||||
<div class="slides">
|
||||
<section>Slide 1</section>
|
||||
<section>Slide 2</section>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script src="lib/js/head.min.js"></script>
|
||||
<script src="js/reveal.js"></script>
|
||||
|
||||
<script>
|
||||
// More info about config & dependencies:
|
||||
// - https://github.com/hakimel/reveal.js#configuration
|
||||
// - https://github.com/hakimel/reveal.js#dependencies
|
||||
Reveal.initialize({
|
||||
dependencies: [
|
||||
{ src: 'plugin/markdown/marked.js' },
|
||||
{ src: 'plugin/markdown/markdown.js' },
|
||||
{ src: 'plugin/notes/notes.js', async: true },
|
||||
{ src: 'plugin/highlight/highlight.js', async: true, callback: function() { hljs.initHighlightingOnLoad(); } }
|
||||
]
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,80 +0,0 @@
|
||||
/*
|
||||
|
||||
Zenburn style from voldmar.ru (c) Vladimir Epifanov <voldmar@voldmar.ru>
|
||||
based on dark.css by Ivan Sagalaev
|
||||
|
||||
*/
|
||||
|
||||
.hljs {
|
||||
display: block;
|
||||
overflow-x: auto;
|
||||
padding: 0.5em;
|
||||
background: #3f3f3f;
|
||||
color: #dcdcdc;
|
||||
}
|
||||
|
||||
.hljs-keyword,
|
||||
.hljs-selector-tag,
|
||||
.hljs-tag {
|
||||
color: #e3ceab;
|
||||
}
|
||||
|
||||
.hljs-template-tag {
|
||||
color: #dcdcdc;
|
||||
}
|
||||
|
||||
.hljs-number {
|
||||
color: #8cd0d3;
|
||||
}
|
||||
|
||||
.hljs-variable,
|
||||
.hljs-template-variable,
|
||||
.hljs-attribute {
|
||||
color: #efdcbc;
|
||||
}
|
||||
|
||||
.hljs-literal {
|
||||
color: #efefaf;
|
||||
}
|
||||
|
||||
.hljs-subst {
|
||||
color: #8f8f8f;
|
||||
}
|
||||
|
||||
.hljs-title,
|
||||
.hljs-name,
|
||||
.hljs-selector-id,
|
||||
.hljs-selector-class,
|
||||
.hljs-section,
|
||||
.hljs-type {
|
||||
color: #efef8f;
|
||||
}
|
||||
|
||||
.hljs-symbol,
|
||||
.hljs-bullet,
|
||||
.hljs-link {
|
||||
color: #dca3a3;
|
||||
}
|
||||
|
||||
.hljs-deletion,
|
||||
.hljs-string,
|
||||
.hljs-built_in,
|
||||
.hljs-builtin-name {
|
||||
color: #cc9393;
|
||||
}
|
||||
|
||||
.hljs-addition,
|
||||
.hljs-comment,
|
||||
.hljs-quote,
|
||||
.hljs-meta {
|
||||
color: #7f9f7f;
|
||||
}
|
||||
|
||||
|
||||
.hljs-emphasis {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
.hljs-strong {
|
||||
font-weight: bold;
|
||||
}
|
||||
@@ -1,2 +0,0 @@
|
||||
SIL Open Font License (OFL)
|
||||
http://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=OFL
|
||||
@@ -1,10 +0,0 @@
|
||||
@font-face {
|
||||
font-family: 'League Gothic';
|
||||
src: url('league-gothic.eot');
|
||||
src: url('league-gothic.eot?#iefix') format('embedded-opentype'),
|
||||
url('league-gothic.woff') format('woff'),
|
||||
url('league-gothic.ttf') format('truetype');
|
||||
|
||||
font-weight: normal;
|
||||
font-style: normal;
|
||||
}
|
||||
Binary file not shown.
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user