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钟尚武
dlib
Commits
1f110183
Commit
1f110183
authored
Jun 25, 2016
by
Davis King
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main_menu.xml
docs/docs/main_menu.xml
+5
-5
ml.xml
docs/docs/ml.xml
+15
-14
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docs/docs/main_menu.xml
View file @
1f110183
...
@@ -187,15 +187,15 @@
...
@@ -187,15 +187,15 @@
<name>
Examples: C++
</name>
<name>
Examples: C++
</name>
<sub>
<sub>
<item>
<item>
<name>
Deep Learning Introduction
</name>
<name>
Deep Learning Introduction
Part 1
</name>
<link>
dnn_
mnist
_ex.cpp.html
</link>
<link>
dnn_
introduction
_ex.cpp.html
</link>
</item>
</item>
<item>
<item>
<name>
Deep Learning
Advanced
</name>
<name>
Deep Learning
Introduction Part 2
</name>
<link>
dnn_
mnist_advanced
_ex.cpp.html
</link>
<link>
dnn_
introduction2
_ex.cpp.html
</link>
</item>
</item>
<item>
<item>
<name>
Deep Learning Imagenet Classifier
</name>
<name>
Deep Learning Imagenet Classifier
</name>
<link>
dnn_imagenet_ex.cpp.html
</link>
<link>
dnn_imagenet_ex.cpp.html
</link>
</item>
</item>
<item>
<item>
...
...
docs/docs/ml.xml
View file @
1f110183
...
@@ -426,13 +426,14 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
...
@@ -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
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.
by stacking many layers on top of each other using the add_layer class.
<p>
<p>
For a tutorial showing how this is accomplished see
For a tutorial showing how this is accomplished read
<a
href=
"dnn_mnist_ex.cpp.html"
>
this MNIST example
</a>
.
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>
</p>
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist
_ex.cpp.html
</example>
<example>
dnn_
introduction
_ex.cpp.html
</example>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_train_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
...
@@ -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.
on the top of a deep neural network.
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist
_ex.cpp.html
</example>
<example>
dnn_
introduction
_ex.cpp.html
</example>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_train_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
...
@@ -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.
except that it involves less typing, and for large N, will compile much faster.
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
</examples>
</examples>
</component>
</component>
...
@@ -492,12 +493,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
...
@@ -492,12 +493,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
<p>
For a tutorial showing how to use tagging see the
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.
example program.
</p>
</p>
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
</examples>
</examples>
</component>
</component>
...
@@ -514,7 +515,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
...
@@ -514,7 +515,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
<p>
For a tutorial showing how to use tagging see the
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.
example program.
</p>
</p>
</description>
</description>
...
@@ -532,12 +533,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
...
@@ -532,12 +533,12 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<p>
<p>
For a tutorial showing how to use tagging see the
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.
example program.
</p>
</p>
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
</examples>
</examples>
</component>
</component>
...
@@ -552,8 +553,8 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
...
@@ -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.
takes some kind of image as input and loads it into a network.
</description>
</description>
<examples>
<examples>
<example>
dnn_
mnist
_ex.cpp.html
</example>
<example>
dnn_
introduction
_ex.cpp.html
</example>
<example>
dnn_
mnist_advanced
_ex.cpp.html
</example>
<example>
dnn_
introduction2
_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_inception_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_ex.cpp.html
</example>
<example>
dnn_imagenet_train_ex.cpp.html
</example>
<example>
dnn_imagenet_train_ex.cpp.html
</example>
...
...
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