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updated docs
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@ -105,6 +105,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
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<item nolink="true">
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<name>Core Tools</name>
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<sub>
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<item>dnn_trainer</item>
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<item>add_layer</item>
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<item>add_loss_layer</item>
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<item>repeat</item>
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@ -440,6 +441,29 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
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</examples>
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</component>
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<!-- ************************************************************************* -->
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<component cpp11="true">
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<name>dnn_trainer</name>
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<file>dlib/dnn.h</file>
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<spec_file link="true">dlib/dnn/trainer_abstract.h</spec_file>
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<description>
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This object is a tool training a deep neural network.
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<p>
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For a tutorial showing how this is accomplished read
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the <a href="dnn_introduction_ex.cpp.html">DNN Introduction part 1</a> and
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<a href="dnn_introduction2_ex.cpp.html">DNN Introduction part 2</a>.
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</p>
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</description>
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<examples>
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<example>dnn_introduction_ex.cpp.html</example>
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<example>dnn_introduction2_ex.cpp.html</example>
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<example>dnn_inception_ex.cpp.html</example>
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<example>dnn_imagenet_ex.cpp.html</example>
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<example>dnn_imagenet_train_ex.cpp.html</example>
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</examples>
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</component>
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<!-- ************************************************************************* -->
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<component cpp11="true">
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@ -45,11 +45,11 @@
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<term file="dlib/dnn/core_abstract.h.html" name="make_sstack" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="repeat_group" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="add_layer" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="add_loss_layer" include="dlib/dnn.h"/>
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<term file="ml.html" name="add_layer" include="dlib/dnn.h"/>
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<term file="ml.html" name="add_loss_layer" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="repeat_group" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="repeat" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="add_tag_layer" include="dlib/dnn.h"/>
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<term file="ml.html" name="repeat" include="dlib/dnn.h"/>
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<term file="ml.html" name="add_tag_layer" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="tag_id" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="tag1" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="tag2" include="dlib/dnn.h"/>
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@ -61,7 +61,7 @@
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<term file="dlib/dnn/core_abstract.h.html" name="tag8" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="tag9" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="tag10" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="add_skip_layer" include="dlib/dnn.h"/>
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<term file="ml.html" name="add_skip_layer" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="skip1" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="skip2" include="dlib/dnn.h"/>
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<term file="dlib/dnn/core_abstract.h.html" name="skip3" include="dlib/dnn.h"/>
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@ -110,7 +110,7 @@
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<term file="dlib/dnn/input_abstract.h.html" name="input_rgb_image" include="dlib/dnn.h"/>
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<term file="dlib/dnn/input_abstract.h.html" name="input_rgb_image_sized" include="dlib/dnn.h"/>
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<term file="dlib/dnn/trainer_abstract.h.html" name="dnn_trainer" include="dlib/dnn.h"/>
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<term file="ml.html" name="dnn_trainer" include="dlib/dnn.h"/>
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<term file="dlib/dnn/loss_abstract.h.html" name="EXAMPLE_LOSS_LAYER_" include="dlib/dnn.h"/>
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<term file="dlib/dnn/loss_abstract.h.html" name="loss_binary_hinge_" include="dlib/dnn.h"/>
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