upgrading neural nets with cans

2018-10-19 05:04:15 +02:00
parent 98f03271a5
commit 2e478fadab
258 changed files with 60828 additions and 1199 deletions
@@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source
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-<meta name="description" content="Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning">
+<meta name="description" content="Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning and convolutional networks">

-<title>Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning</title>
+<title>Data Analysis and Machine Learning: Neural networks, from the simple perceptron to deep learning and convolutional networks</title>

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@@ -151,8 +151,30 @@ Automatically generated HTML file from DocOnce source
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+              ('Transforming images', 2, None, '___sec70'),
+              ('CNNs in brief', 2, None, '___sec71'),
+              ('CNNs in more detail, building convolutional neural networks in '
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+               None,
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+              ('Setting it up', 2, None, '___sec73'),
+              ('The MNIST dataset again', 2, None, '___sec74'),
+              ('Strong correlations', 2, None, '___sec75'),
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+              ('Running with Keras', 2, None, '___sec83'),
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@@ -182,7 +204,7 @@ MathJax.Hub.Config({
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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</a>
+    <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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@@ -260,8 +282,23 @@ MathJax.Hub.Config({
     <!-- 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>CNNs in brief</b></a></li>
-     <!-- navigation toc: --> <li><a href="._NeuralNet-bs072.html#___sec71" style="font-size: 80%;"><b>CNNs in more detail</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>
@@ -339,6 +376,10 @@ supervised learning.
  <li><a href="._NeuralNet-bs070.html">71</a></li>
  <li><a href="._NeuralNet-bs071.html">72</a></li>
  <li><a href="._NeuralNet-bs072.html">73</a></li>
+  <li><a href="._NeuralNet-bs073.html">74</a></li>
+  <li><a href="._NeuralNet-bs074.html">75</a></li>
+  <li><a href="">...</a></li>
+  <li><a href="._NeuralNet-bs087.html">88</a></li>
  <li><a href="._NeuralNet-bs066.html">&raquo;</a></li>
 </ul>
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