Uses of Class
org.deeplearning4j.nn.transferlearning.TransferLearning.Builder

Packages that use TransferLearning.Builder

Package	Description
org.deeplearning4j.nn.transferlearning

Uses of TransferLearning.Builder in org.deeplearning4j.nn.transferlearning

Methods in org.deeplearning4j.nn.transferlearning that return TransferLearning.Builder

Modifier and Type	Method and Description
TransferLearning.Builder	TransferLearning.Builder.addLayer(Layer layer) Add layers to the net Required if layers are removed.
TransferLearning.Builder	TransferLearning.Builder.fineTuneConfiguration(FineTuneConfiguration finetuneConfiguration) Fine tune configurations specified will overwrite the existing configuration if any Usage example: specify a learning rate will set specified learning rate on all layers Refer to the fineTuneConfiguration class for more details
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, Distribution dist) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, Distribution dist, Distribution distNext) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, Distribution dist, WeightInit schemeNext) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, WeightInit scheme) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, WeightInit scheme, Distribution distNext) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
TransferLearning.Builder	TransferLearning.Builder.nOutReplace(int layerNum, int nOut, WeightInit scheme, WeightInit schemeNext) Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
TransferLearning.Builder	TransferLearning.Builder.removeLayersFromOutput(int layerNum) Remove last "n" layers of the net At least an output layer must be added back in
TransferLearning.Builder	TransferLearning.Builder.removeOutputLayer() Helper method to remove the outputLayer of the net.
TransferLearning.Builder	TransferLearning.Builder.setFeatureExtractor(int layerNum) Specify a layer to set as a "feature extractor" The specified layer and the layers preceding it will be "frozen" with parameters staying constant
TransferLearning.Builder	TransferLearning.Builder.setInputPreProcessor(int layer, InputPreProcessor processor) Specify the preprocessor for the added layers for cases where they cannot be inferred automatically.