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mhjensen
2018-10-04 05:35:51 +02:00
parent ff08e04b6e
commit 0c44eedada
64 changed files with 1948 additions and 2013 deletions
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doc/pub/NeuralNet/html/._NeuralNet-bs028.html
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@@ -110,20 +110,19 @@ Automatically generated HTML file from DocOnce source
('Improving performance', 2, None, '___sec44'),
('Full object-oriented implementation', 2, None, '___sec45'),
('Evaluate model performance on test data', 2, None, '___sec46'),
('Adjust hyperparameters (if necessary, network architecture',
2,
None,
'___sec47'),
('scikit-learn implementation', 2, None, '___sec48'),
('Adjust hyperparameters', 2, None, '___sec47'),
('Visualization', 2, None, '___sec48'),
('scikit-learn implementation', 2, None, '___sec49'),
('Visualization', 2, None, '___sec50'),
('Building neural networks in Tensorflow and Keras',
2,
None,
'___sec49'),
('Tensorflow', 2, None, '___sec50'),
('Collect and pre-process data', 2, None, '___sec51'),
('Using TensorFlow backend', 2, None, '___sec52'),
('Optimizing and using gradient descent', 2, None, '___sec53'),
('Using Keras', 2, None, '___sec54')]}
'___sec51'),
('Tensorflow', 2, None, '___sec52'),
('Collect and pre-process data', 2, None, '___sec53'),
('Using TensorFlow backend', 2, None, '___sec54'),
('Optimizing and using gradient descent', 2, None, '___sec55'),
('Using Keras', 2, None, '___sec56')]}
end of tocinfo -->
<body>
@@ -208,14 +207,16 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._NeuralNet-bs045.html#___sec44" style="font-size: 80%;"><b>Improving performance</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs046.html#___sec45" style="font-size: 80%;"><b>Full object-oriented implementation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs047.html#___sec46" style="font-size: 80%;"><b>Evaluate model performance on test data</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs048.html#___sec47" style="font-size: 80%;"><b>Adjust hyperparameters (if necessary, network architecture</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs049.html#___sec48" style="font-size: 80%;"><b>scikit-learn implementation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs050.html#___sec49" style="font-size: 80%;"><b>Building neural networks in Tensorflow and Keras</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs051.html#___sec50" style="font-size: 80%;"><b>Tensorflow</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs052.html#___sec51" style="font-size: 80%;"><b>Collect and pre-process data</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs053.html#___sec52" style="font-size: 80%;"><b>Using TensorFlow backend</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs054.html#___sec53" style="font-size: 80%;"><b>Optimizing and using gradient descent</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs055.html#___sec54" style="font-size: 80%;"><b>Using Keras</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs048.html#___sec47" style="font-size: 80%;"><b>Adjust hyperparameters</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs049.html#___sec48" style="font-size: 80%;"><b>Visualization</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs050.html#___sec49" style="font-size: 80%;"><b>scikit-learn implementation</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>Building neural networks in Tensorflow and Keras</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs053.html#___sec52" style="font-size: 80%;"><b>Tensorflow</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs054.html#___sec53" style="font-size: 80%;"><b>Collect and pre-process data</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs055.html#___sec54" style="font-size: 80%;"><b>Using TensorFlow backend</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs056.html#___sec55" style="font-size: 80%;"><b>Optimizing and using gradient descent</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs057.html#___sec56" style="font-size: 80%;"><b>Using Keras</b></a></li>
</ul>
</li>
@@ -235,6 +236,8 @@ MathJax.Hub.Config({
<p>
We have now three equations that are essential for the computations of the derivatives of the cost function at the output layer. These equations are needed to start the algorithm and they are
<p>
<div class="panel panel-default">
<div class="panel-body">
<p> <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
@@ -276,7 +279,7 @@ descent. In this case we say the system learns slowly.
<p>
Another interesting feature is that is when the activation function,
represented by the sigmoid function here, is rather flat when towards
represented by the sigmoid function here, is rather flat when we move towards
its end values \( 0 \) and \( 1 \) (see the above Python codes). In these
cases, the derivatives of the activation function will also be close
to zero, meaning again that the gradients will be small and the
@@ -314,7 +317,7 @@ one \( L-1 \) in terms of the errors in the final output layer.
<li><a href="._NeuralNet-bs036.html">37</a></li>
<li><a href="._NeuralNet-bs037.html">38</a></li>
<li><a href="">...</a></li>
<li><a href="._NeuralNet-bs055.html">56</a></li>
<li><a href="._NeuralNet-bs057.html">58</a></li>
<li><a href="._NeuralNet-bs029.html">&raquo;</a></li>
</ul>
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