Commit 1f110183 authored by Davis King's avatar Davis King

updated docs

parent f88f784a
......@@ -187,15 +187,15 @@
<name>Examples: C++</name>
<sub>
<item>
<name>Deep Learning Introduction</name>
<link>dnn_mnist_ex.cpp.html</link>
<name>Deep Learning Introduction Part 1</name>
<link>dnn_introduction_ex.cpp.html</link>
</item>
<item>
<name>Deep Learning Advanced</name>
<link>dnn_mnist_advanced_ex.cpp.html</link>
<name>Deep Learning Introduction Part 2</name>
<link>dnn_introduction2_ex.cpp.html</link>
</item>
<item>
<name>Deep Learning Imagenet Classifier </name>
<name>Deep Learning Imagenet Classifier</name>
<link>dnn_imagenet_ex.cpp.html</link>
</item>
<item>
......
......@@ -426,13 +426,14 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
input layer or an entire network. Therefore, deep neural networks are created
by stacking many layers on top of each other using the add_layer class.
<p>
For a tutorial showing how this is accomplished see
<a href="dnn_mnist_ex.cpp.html">this MNIST example</a>.
For a tutorial showing how this is accomplished read
the <a href="dnn_introduction_ex.cpp.html">DNN Introduction part 1</a> and
<a href="dnn_introduction2_ex.cpp.html">DNN Introduction part 2</a>.
</p>
</description>
<examples>
<example>dnn_mnist_ex.cpp.html</example>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
<example>dnn_inception_ex.cpp.html</example>
<example>dnn_imagenet_ex.cpp.html</example>
<example>dnn_imagenet_train_ex.cpp.html</example>
......@@ -450,8 +451,8 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
on the top of a deep neural network.
</description>
<examples>
<example>dnn_mnist_ex.cpp.html</example>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
<example>dnn_inception_ex.cpp.html</example>
<example>dnn_imagenet_ex.cpp.html</example>
<example>dnn_imagenet_train_ex.cpp.html</example>
......@@ -470,7 +471,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
except that it involves less typing, and for large N, will compile much faster.
</description>
<examples>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
</examples>
</component>
......@@ -492,12 +493,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
For a tutorial showing how to use tagging see the
<a href="dnn_mnist_advanced_ex.cpp.html">dnn_mnist_advanced_ex.cpp</a>
<a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a>
example program.
</p>
</description>
<examples>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
</examples>
</component>
......@@ -514,7 +515,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
For a tutorial showing how to use tagging see the
<a href="dnn_mnist_advanced_ex.cpp.html">dnn_mnist_advanced_ex.cpp</a>
<a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a>
example program.
</p>
</description>
......@@ -532,12 +533,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
For a tutorial showing how to use tagging see the
<a href="dnn_mnist_advanced_ex.cpp.html">dnn_mnist_advanced_ex.cpp</a>
<a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a>
example program.
</p>
</description>
<examples>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
</examples>
</component>
......@@ -552,8 +553,8 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
takes some kind of image as input and loads it into a network.
</description>
<examples>
<example>dnn_mnist_ex.cpp.html</example>
<example>dnn_mnist_advanced_ex.cpp.html</example>
<example>dnn_introduction_ex.cpp.html</example>
<example>dnn_introduction2_ex.cpp.html</example>
<example>dnn_inception_ex.cpp.html</example>
<example>dnn_imagenet_ex.cpp.html</example>
<example>dnn_imagenet_train_ex.cpp.html</example>
......
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