deleting unnecessary material

This commit is contained in:
mhjensen
2018-10-19 06:43:54 +02:00
parent 97ee7402a8
commit d5af6f12c1
113 changed files with 2879 additions and 4700 deletions
+23 -31
View File
@@ -185,24 +185,20 @@ Automatically generated HTML file from DocOnce source
('Reformulating the problem', 2, None, '___sec90'),
('Estimating errors', 2, None, '___sec91'),
('Creating a simple Deep Neural Net', 2, None, '___sec92'),
('Feedforward', 2, None, '___sec93'),
('Result after weighting', 2, None, '___sec94'),
('Output', 2, None, '___sec95'),
('Setting up the code, feed forward part', 2, None, '___sec96'),
('Backpropagation', 2, None, '___sec97'),
('Gradient Descent', 2, None, '___sec98'),
('More on GD and cost function', 2, None, '___sec99'),
('Setting up the code, feed forward part', 2, None, '___sec93'),
('Backpropagation', 2, None, '___sec94'),
('Gradient Descent', 2, None, '___sec95'),
('More on GD and cost function', 2, None, '___sec96'),
('An implementation of a Deep Neural Network',
2,
None,
'___sec100'),
('Feed forward again', 2, None, '___sec101'),
('The final parts of the code', 2, None, '___sec102'),
('And adding Back propagation', 2, None, '___sec103'),
('Solving the ODE', 2, None, '___sec104'),
('Using neural network', 2, None, '___sec105'),
('Using a deep neural network', 2, None, '___sec106'),
('Wrapping it up', 2, None, '___sec107')]}
'___sec97'),
('The final parts of the code', 2, None, '___sec98'),
('And adding Back propagation', 2, None, '___sec99'),
('Solving the ODE', 2, None, '___sec100'),
('Using neural network', 2, None, '___sec101'),
('Using a deep neural network', 2, None, '___sec102'),
('Wrapping it up', 2, None, '___sec103')]}
end of tocinfo -->
<body>
@@ -333,21 +329,17 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._NeuralNet-bs091.html#___sec90" style="font-size: 80%;"><b>Reformulating the problem</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs092.html#___sec91" style="font-size: 80%;"><b>Estimating errors</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs093.html#___sec92" style="font-size: 80%;"><b>Creating a simple Deep Neural Net</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs094.html#___sec93" style="font-size: 80%;"><b>Feedforward</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs095.html#___sec94" style="font-size: 80%;"><b>Result after weighting</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs096.html#___sec95" style="font-size: 80%;"><b>Output</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs097.html#___sec96" style="font-size: 80%;"><b>Setting up the code, feed forward part</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs098.html#___sec97" style="font-size: 80%;"><b>Backpropagation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs099.html#___sec98" style="font-size: 80%;"><b>Gradient Descent</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs100.html#___sec99" style="font-size: 80%;"><b>More on GD and cost function</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs101.html#___sec100" style="font-size: 80%;"><b>An implementation of a Deep Neural Network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs102.html#___sec101" style="font-size: 80%;"><b>Feed forward again</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs103.html#___sec102" style="font-size: 80%;"><b>The final parts of the code</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs104.html#___sec103" style="font-size: 80%;"><b>And adding Back propagation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs105.html#___sec104" style="font-size: 80%;"><b>Solving the ODE</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs106.html#___sec105" style="font-size: 80%;"><b>Using neural network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs107.html#___sec106" style="font-size: 80%;"><b>Using a deep neural network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs108.html#___sec107" style="font-size: 80%;"><b>Wrapping it up</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs094.html#___sec93" style="font-size: 80%;"><b>Setting up the code, feed forward part</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs095.html#___sec94" style="font-size: 80%;"><b>Backpropagation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs096.html#___sec95" style="font-size: 80%;"><b>Gradient Descent</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs097.html#___sec96" style="font-size: 80%;"><b>More on GD and cost function</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs098.html#___sec97" style="font-size: 80%;"><b>An implementation of a Deep Neural Network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs099.html#___sec98" style="font-size: 80%;"><b>The final parts of the code</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs100.html#___sec99" style="font-size: 80%;"><b>And adding Back propagation</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs101.html#___sec100" style="font-size: 80%;"><b>Solving the ODE</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs102.html#___sec101" style="font-size: 80%;"><b>Using neural network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs103.html#___sec102" style="font-size: 80%;"><b>Using a deep neural network</b></a></li>
<!-- navigation toc: --> <li><a href="._NeuralNet-bs104.html#___sec103" style="font-size: 80%;"><b>Wrapping it up</b></a></li>
</ul>
</li>
@@ -416,7 +408,7 @@ and the slides of <a href="http://cs231n.github.io/convolutional-networks/" targ
<li><a href="._NeuralNet-bs075.html">76</a></li>
<li><a href="._NeuralNet-bs076.html">77</a></li>
<li><a href="">...</a></li>
<li><a href="._NeuralNet-bs108.html">109</a></li>
<li><a href="._NeuralNet-bs104.html">105</a></li>
<li><a href="._NeuralNet-bs068.html">&raquo;</a></li>
</ul>
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