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Functions318 in github.com/JHL-HUST/VT

MethodtestUnknowBatchSize
(self)
nets/inception_v2_test.py:261
MethodtestUnknowBatchSize
(self)
nets/inception_v1_test.py:147
MethodtestUnknowBatchSize
(self)
nets/mobilenet_v1_test.py:386
MethodtestUnknowBatchSize
(self)
nets/inception_v3_test.py:228
MethodtestUnknownBatchSize
(self)
nets/inception_resnet_v2_test.py:216
MethodtestUnknownBatchSize
(self)
nets/resnet_v1_test.py:391
MethodtestUnknownBatchSize
(self)
nets/resnet_v2_test.py:393
MethodtestUnknownBatchSize
(self)
nets/inception_v4_test.py:167
MethodtestUnknownImageShape
(self)
nets/inception_v2_test.py:243
MethodtestUnknownImageShape
(self)
nets/inception_v1_test.py:129
MethodtestUnknownImageShape
(self)
nets/mobilenet_v1_test.py:368
MethodtestUnknownImageShape
(self)
nets/inception_v3_test.py:211
MethodtestVariablesSetDevice
(self)
nets/inception_resnet_v2_test.py:186
MethodtestVariablesSetDevice
(self)
nets/inception_v4_test.py:139
Functionvgg_16
Oxford Net VGG 16-Layers version D Example. Note: All the fully_connected layers have been transformed to conv2d layers. To use in classifi
nets/vgg.py:132
Functionvgg_19
Oxford Net VGG 19-Layers version E Example. Note: All the fully_connected layers have been transformed to conv2d layers. To use in classifi
nets/vgg.py:198
Functionvgg_a
Oxford Net VGG 11-Layers version A Example. Note: All the fully_connected layers have been transformed to conv2d layers. To use in classifi
nets/vgg.py:66
Functionvgg_arg_scope
Defines the VGG arg scope. Args: weight_decay: The l2 regularization coefficient. Returns: An arg_scope.
nets/vgg.py:49
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