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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-bs026.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>
@@ -252,7 +253,7 @@ $$
<p>
This is an important expression. The second term on the right handside
measures how fast the cost is changing as a function of the $j$th
measures how fast the cost function is changing as a function of the $j$th
output activation. If, for example, the cost function doesn't depend
much on a particular output node \( j \), then \( \delta_j^L \) will be small,
which is what we would expect. The first term on the right, measures
@@ -264,9 +265,9 @@ Notice that everything in the above equations is easily computed. In
particular, we compute \( z_j^L \) while computing the behaviour of the
network, and it is only a small additional overhead to compute
\( f'(z^L_j) \). The exact form of the derivative with respect to the
outpuwill, of course, depend on the form of the cost function.
output depends on the form of the cost function.
However, provided the cost function is known there should be little
trouble computing
trouble in calculating
$$
\frac{\partial {\cal C}}{\partial (a_j^L)}
@@ -304,7 +305,7 @@ $$
<li><a href="._NeuralNet-bs034.html">35</a></li>
<li><a href="._NeuralNet-bs035.html">36</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-bs027.html">&raquo;</a></li>
</ul>
<!-- ------------------- end of main content --------------- -->