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embedding_layer_name
, we use the last layer as the feature extractor.pytorch
where last layer is the model itself. For instance, last layer ofvgg16
has 2 dimensional outputs, so it was added into theembedding_layers
. If user didn't specify anembedding_layer_name
, the entire vgg model will be replaced withIdentity
.note: after previous refactoring #82 , keras 's tailor behaviour started to different from paddle and torch. When use last layer as
embedding_layer
, keras will take the last layer while paddle and torch will replace the last layer isIdentity
.