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/external/tensorflow/tensorflow/python/ops/
data_flow_ops.py
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/packages/apps/Browser2/test/webexposed/
global-interface-listing-expected.txt
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/prebuilts/tools/common/m2/repository/org/eclipse/tycho/tycho-bundles-external/0.18.1/eclipse/plugins/
org.eclipse.equinox.p2.director_2.3.0.v20130526-0335.jar
/frameworks/base/services/
art-profile
114
HPLcom/android/server/autofill/ui/AutoFillUI$AutoFillUiCallback;->fill(IILandroid/service/autofill/
Dataset
;)V
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/external/libxml2/
NEWS
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/frameworks/base/core/java/android/widget/
ListView.java
93
* <p>To display a more custom view for each item in your
dataset
, implement a ListAdapter.
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AbsListView.java
282
* Should be used by subclasses to listen to changes in the
dataset
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/prebuilts/tools/common/m2/repository/org/eclipse/tycho/org.eclipse.tycho.p2.resolver.impl/0.18.1/
org.eclipse.tycho.p2.resolver.impl-0.18.1.jar
/external/autotest/client/build_deps/closure_library/
closure-library-20111110-r1376.tar.bz2
/external/libxml2/doc/
news.html
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xml.html
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/external/tensorflow/tensorflow/examples/udacity/
5_word2vec.ipynb
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/frameworks/base/core/res/res/values/
attrs_manifest.xml
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/external/tensorflow/tensorflow/core/ops/compat/
ops_history.v1.pbtxt
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/external/tensorflow/tensorflow/core/ops/
ops.pbtxt
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/packages/providers/ContactsProvider/tests/src/com/android/providers/contacts/
ContactsProvider2Test.java
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/external/tensorflow/tensorflow/python/framework/
ops.py
455
# We know that each image in this
dataset
is 28 x 28 pixels.
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/prebuilts/misc/common/groovy/
groovy-src-1.7.0.zip
/external/lisa/ipynb/tutorial/
06_TraceAnalysis.ipynb
409
"# Original TRAPpy::FTrace
DataSet
are still accessible by specifying the\n",
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/external/tensorflow/tensorflow/examples/tutorials/deepdream/
deepdream.ipynb
50
"The network under examination is the [GoogLeNet architecture](http://arxiv.org/abs/1409.4842), trained to classify images into one of 1000 categories of the [ImageNet](http://image-net.org/)
dataset
. It consists of a set of layers that apply a sequence of transformations to the input image. The parameters of these transformations were determined during the training process by a variant of gradient descent algorithm. The internal image representations may seem obscure, but it is possible to visualize and interpret them. In this notebook we are going to present a few tricks that allow to make these visualizations both efficient to generate and even beautiful. Impatient readers can start with exploring the full galleries of images generated by the method described here for [GoogLeNet](http://storage.googleapis.com/deepdream/visualz/tensorflow_inception/index.html) and [VGG16](http://storage.googleapis.com/deepdream/visualz/vgg16/index.html) architectures."
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/prebuilts/devtools/tools/lib/
ddmuilib.jar
/prebuilts/gradle-plugin/com/android/tools/ddms/ddmuilib/24.5.0/
ddmuilib-24.5.0.jar
/prebuilts/gradle-plugin/com/android/tools/ddms/ddmuilib/25.0.0-alpha1/
ddmuilib-25.0.0-alpha1.jar
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