KerasLocallyConnected1D

[source]

Imports a 1D locally connected layer from Keras.

KerasLocallyConnected1D

public KerasLocallyConnected1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getLocallyConnected1DLayer

public LocallyConnected1D getLocallyConnected1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for 1D locally connected layer.

• param weights Map from parameter name to INDArray.

KerasLocallyConnected2D

[source]

Imports a 2D locally connected layer from Keras.

KerasLocallyConnected2D

public KerasLocallyConnected2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getLocallyConnected2DLayer

public LocallyConnected2D getLocallyConnected2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for 2D locally connected layer.

• param weights Map from parameter name to INDArray.

KerasEmbedding

[source]

Imports an Embedding layer from Keras.

KerasEmbedding

public KerasEmbedding() throws UnsupportedKerasConfigurationException 

Pass through constructor for unit tests

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getEmbeddingLayer

public EmbeddingSequenceLayer getEmbeddingLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

public int getNumParams() 

Returns number of trainable parameters in layer.

• return number of trainable parameters (1)

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights Embedding layer weights

KerasPermute

Imports Permute layer from Keras

KerasPermute

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

isInputPreProcessor

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getInputPreprocessor

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras config

• see InputPreProcessor

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasFlatten

Imports a Keras Flatten layer as a DL4J {Cnn,Rnn}ToFeedForwardInputPreProcessor.

KerasFlatten

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

isInputPreProcessor

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getInputPreprocessor

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras config

• see org.deeplearning4j.nn.conf.InputPreProcessor

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasReshape

Imports Reshape layer from Keras

KerasReshape

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

isInputPreProcessor

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getInputPreprocessor

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras config

• see org.deeplearning4j.nn.conf.InputPreProcessor

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasMerge

Imports a Keras Merge layer as a DL4J Merge (graph) vertex.

TODO: handle axes arguments that alter merge behavior (requires changes to DL4J?)

KerasMerge

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

KerasDropout

Imports a Dropout layer from Keras.

KerasDropout

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getDropoutLayer

Get DL4J DropoutLayer.

• return DropoutLayer

KerasMasking

Imports Keras masking layers.

KerasMasking

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getMaskingLayer

Get DL4J MaskZeroLayer.

• return MaskZeroLayer

KerasSpatialDropout

Keras wrapper for DL4J dropout layer with SpatialDropout, works 1D-3D.

KerasSpatialDropout

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSpatialDropoutLayer

Get DL4J DropoutLayer with spatial dropout.

• return DropoutLayer

KerasLambda

Wraps a DL4J SameDiffLambda into a KerasLayer

KerasLambda

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSameDiffLayer

Get DL4J SameDiffLayer.

• return SameDiffLayer

KerasActivation

Imports an Activation layer from Keras.

KerasActivation

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getActivationLayer

Get DL4J ActivationLayer.

• return ActivationLayer

KerasDense

Imports a Dense layer from Keras.

KerasDense

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getDenseLayer

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

Returns number of trainable parameters in layer.

• return number of trainable parameters (2)

setWeights

Set weights for layer.

• param weights Dense layer weights

KerasRepeatVector

Imports a Keras RepeatVector layer

KerasRepeatVector

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getRepeatVectorLayer

Get DL4J RepeatVector.

• return RepeatVector

KerasGaussianNoise

Keras wrapper for DL4J dropout layer with GaussianNoise.

KerasGaussianNoise

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getGaussianNoiseLayer

Get DL4J DropoutLayer with Gaussian dropout.

• return DropoutLayer

KerasAlphaDropout

Keras wrapper for DL4J dropout layer with AlphaDropout.

KerasAlphaDropout

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getAlphaDropoutLayer

Get DL4J DropoutLayer with Alpha dropout.

• return DropoutLayer

KerasGaussianDropout

Keras wrapper for DL4J dropout layer with GaussianDropout.

KerasGaussianDropout

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Invalid Keras config

getOutputType

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getGaussianDropoutLayer

Get DL4J DropoutLayer with Gaussian dropout.

• return DropoutLayer

KerasModelImport

[source]

Reads stored Keras configurations and weights from one of two archives: either as

• a single HDF5 file storing model and training JSON configurations and weights

• separate text file storing model JSON configuration and HDF5 file storing weights.

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights( InputStream modelHdf5Stream, boolean enforceTrainingConfig)
            throws IOException, UnsupportedKerasConfigurationException, InvalidKerasConfigurationException

Load Keras (Functional API) Model saved using model.save_model(…).

• param modelHdf5Stream InputStream containing HDF5 archive storing Keras Model

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• see ComputationGraph

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(InputStream modelHdf5Stream) throws IOException, UnsupportedKerasConfigurationException, InvalidKerasConfigurationException 

Load Keras (Functional API) Model saved using model.save_model(…).

• param modelHdf5Stream InputStream containing HDF5 archive storing Keras Model

• return ComputationGraph

• see ComputationGraph

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(InputStream modelHdf5Stream,
                                                                         boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model saved using model.save_model(…).

• param modelHdf5Stream InputStream containing HDF5 archive storing Keras Sequential model

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• see ComputationGraph

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(InputStream modelHdf5Stream)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model saved using model.save_model(…).

• param modelHdf5Stream InputStream containing HDF5 archive storing Keras Sequential model

• return ComputationGraph

• see ComputationGraph

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(String modelHdf5Filename, int[] inputShape,
                                                              boolean enforceTrainingConfig)
            throws IOException, UnsupportedKerasConfigurationException, InvalidKerasConfigurationException 

Load Keras (Functional API) Model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Model

• param inputShape optional input shape for models that come without such (e.g. notop = false models)

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• throws IOException IO exception

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

• see ComputationGraph

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(String modelHdf5Filename, boolean enforceTrainingConfig)
            throws IOException, UnsupportedKerasConfigurationException, InvalidKerasConfigurationException 

Load Keras (Functional API) Model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Model

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• throws IOException IO exception

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

• see ComputationGraph

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(String modelHdf5Filename)
            throws IOException, UnsupportedKerasConfigurationException, InvalidKerasConfigurationException 

Load Keras (Functional API) Model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Model

• return ComputationGraph

• throws IOException IO exception

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

• see ComputationGraph

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(String modelHdf5Filename,
                                                                         int[] inputShape,
                                                                         boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Sequential model

• param inputShape optional input shape for models that come without such (e.g. notop = false models)

• param enforceTrainingConfig whether to enforce training configuration options

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(String modelHdf5Filename,
                                                                         boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Sequential model

• param enforceTrainingConfig whether to enforce training configuration options

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(String modelHdf5Filename)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model saved using model.save_model(…).

• param modelHdf5Filename path to HDF5 archive storing Keras Sequential model

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(String modelJsonFilename, String weightsHdf5Filename,
                                                              boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Model configuration

• param weightsHdf5Filename path to HDF5 archive storing Keras model weights

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• throws IOException IO exception

• see ComputationGraph

importKerasModelAndWeights

public static ComputationGraph importKerasModelAndWeights(String modelJsonFilename, String weightsHdf5Filename)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Model configuration

• param weightsHdf5Filename path to HDF5 archive storing Keras model weights

• return ComputationGraph

• throws IOException IO exception

• see ComputationGraph

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(String modelJsonFilename,
                                                                         String weightsHdf5Filename,
                                                                         boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Sequential model configuration

• param weightsHdf5Filename path to HDF5 archive storing Keras model weights

• param enforceTrainingConfig whether to enforce training configuration options

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasSequentialModelAndWeights

public static MultiLayerNetwork importKerasSequentialModelAndWeights(String modelJsonFilename,
                                                                         String weightsHdf5Filename)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Sequential model configuration

• param weightsHdf5Filename path to HDF5 archive storing Keras model weights

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasModelConfiguration

public static ComputationGraphConfiguration importKerasModelConfiguration(String modelJsonFilename,
                                                                              boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Model configuration

• param enforceTrainingConfig whether to enforce training configuration options

• return ComputationGraph

• throws IOException IO exception

• see ComputationGraph

importKerasModelConfiguration

public static ComputationGraphConfiguration importKerasModelConfiguration(String modelJsonFilename)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Model configuration

• return ComputationGraph

• throws IOException IO exception

• see ComputationGraph

importKerasSequentialConfiguration

public static MultiLayerConfiguration importKerasSequentialConfiguration(String modelJsonFilename,
                                                                             boolean enforceTrainingConfig)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Sequential model configuration

• param enforceTrainingConfig whether to enforce training configuration options

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

importKerasSequentialConfiguration

public static MultiLayerConfiguration importKerasSequentialConfiguration(String modelJsonFilename)
            throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(…).

• param modelJsonFilename path to JSON file storing Keras Sequential model configuration

• return MultiLayerNetwork

• throws IOException IO exception

• see MultiLayerNetwork

KerasPooling1D

[source]

Imports a Keras 1D Pooling layer as a DL4J Subsampling layer.

KerasPooling1D

public KerasPooling1D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSubsampling1DLayer

public Subsampling1DLayer getSubsampling1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasPoolingUtils

[source]

Utility functionality for Keras pooling layers.

mapPoolingType

public static PoolingType mapPoolingType(String className, KerasLayerConfiguration conf)
            throws UnsupportedKerasConfigurationException 

Map Keras pooling layers to DL4J pooling types.

• param className name of the Keras pooling class

• return DL4J pooling type

• throws UnsupportedKerasConfigurationException Unsupported Keras config

KerasPooling3D

[source]

Imports a Keras 3D Pooling layer as a DL4J Subsampling3D layer.

KerasPooling3D

public KerasPooling3D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSubsampling3DLayer

public Subsampling3DLayer getSubsampling3DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasGlobalPooling

[source]

Imports a Keras Pooling layer as a DL4J Subsampling layer.

KerasGlobalPooling

public KerasGlobalPooling(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getGlobalPoolingLayer

public GlobalPoolingLayer getGlobalPoolingLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException 

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras config

• see org.deeplearning4j.nn.conf.InputPreProcessor

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasPooling2D

[source]

Imports a Keras 2D Pooling layer as a DL4J Subsampling layer.

KerasPooling2D

public KerasPooling2D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSubsampling2DLayer

public SubsamplingLayer getSubsampling2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasConvolution2D

[source]

Imports a 2D Convolution layer from Keras.

KerasConvolution2D

public KerasConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getConvolution2DLayer

public ConvolutionLayer getConvolution2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasCropping2D

[source]

Imports a Keras Cropping 2D layer.

KerasCropping2D

public KerasCropping2D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getCropping2DLayer

public Cropping2D getCropping2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasUpsampling3D

[source]

Keras Upsampling3D layer support

KerasUpsampling3D

public KerasUpsampling3D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration exception

getUpsampling3DLayer

public Upsampling3D getUpsampling3DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Invalid Keras configuration exception

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasConvolution1D

[source]

Imports a 1D Convolution layer from Keras.

KerasConvolution1D

public KerasConvolution1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException

getConvolution1DLayer

public Convolution1DLayer getConvolution1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException

• throws UnsupportedKerasConfigurationException

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException 

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• see org.deeplearning4j.nn.conf.InputPreProcessor

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights Map from parameter name to INDArray.

KerasUpsampling1D

[source]

Keras Upsampling1D layer support

KerasUpsampling1D

public KerasUpsampling1D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration exception

getUpsampling1DLayer

public Upsampling1D getUpsampling1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Invalid Keras configuration exception

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasAtrousConvolution2D

[source]

Keras 1D atrous / dilated convolution layer. Note that in keras 2 this layer has been removed and dilations are now available through the “dilated” argument in regular Conv1D layers

author: Max Pumperla

KerasAtrousConvolution2D

public KerasAtrousConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getAtrousConvolution2D

public ConvolutionLayer getAtrousConvolution2D() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasAtrousConvolution1D

[source]

Keras 1D atrous / dilated convolution layer. Note that in keras 2 this layer has been removed and dilations are now available through the “dilated” argument in regular Conv1D layers

author: Max Pumperla

KerasAtrousConvolution1D

public KerasAtrousConvolution1D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getAtrousConvolution1D

public Convolution1DLayer getAtrousConvolution1D() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasCropping3D

[source]

Imports a Keras Cropping 3D layer.

KerasCropping3D

public KerasCropping3D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getCropping3DLayer

public Cropping3D getCropping3DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasZeroPadding2D

[source]

Imports a Keras ZeroPadding 2D layer.

KerasZeroPadding2D

public KerasZeroPadding2D(Map<String, Object> layerConfig)
                    throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getZeroPadding2DLayer

public ZeroPaddingLayer getZeroPadding2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasConvolution3D

[source]

Imports a 3D Convolution layer from Keras.

KerasConvolution3D

public KerasConvolution3D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getConvolution3DLayer

public ConvolutionLayer getConvolution3DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasDeconvolution2D

[source]

Imports a 2D Deconvolution layer from Keras.

KerasDeconvolution2D

public KerasDeconvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getDeconvolution2DLayer

public Deconvolution2D getDeconvolution2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasZeroPadding3D

[source]

Imports a Keras ZeroPadding 3D layer.

KerasZeroPadding3D

public KerasZeroPadding3D(Map<String, Object> layerConfig)
                    throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getZeroPadding3DLayer

public ZeroPadding3DLayer getZeroPadding3DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasConvolutionUtils

[source]

Utility functionality for Keras convolution layers.

getConvolutionModeFromConfig

public static ConvolutionMode getConvolutionModeFromConfig(Map<String, Object> layerConfig,
                                                               KerasLayerConfiguration conf)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Get (convolution) stride from Keras layer configuration.

• param layerConfig dictionary containing Keras layer configuration

• return Strides array from Keras configuration

• throws InvalidKerasConfigurationException Invalid Keras config

KerasZeroPadding1D

[source]

Imports a Keras ZeroPadding 1D layer.

KerasZeroPadding1D

public KerasZeroPadding1D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getZeroPadding1DLayer

public ZeroPadding1DLayer getZeroPadding1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasCropping1D

[source]

Imports a Keras Cropping 1D layer.

KerasCropping1D

public KerasCropping1D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getCropping1DLayer

public Cropping1D getCropping1DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasSpaceToDepth

[source]

Constructor from parsed Keras layer configuration dictionary.

KerasSpaceToDepth

public KerasSpaceToDepth(Map<String, Object> layerConfig, boolean enforceTrainingConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration exception

getSpaceToDepthLayer

public SpaceToDepthLayer getSpaceToDepthLayer() 

Get DL4J SpaceToDepth layer.

• return SpaceToDepth layer

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasUpsampling2D

[source]

Keras Upsampling2D layer support

KerasUpsampling2D

public KerasUpsampling2D(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration exception

getUpsampling2DLayer

public Upsampling2D getUpsampling2DLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• throws UnsupportedKerasConfigurationException Invalid Keras configuration exception

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasSeparableConvolution2D

[source]

Keras separable convolution 2D layer support

KerasSeparableConvolution2D

public KerasSeparableConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras configuration

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration

getSeparableConvolution2DLayer

public SeparableConvolution2D getSeparableConvolution2DLayer() 

Get DL4J SeparableConvolution2D.

• return SeparableConvolution2D

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasDepthwiseConvolution2D

[source]

Keras depth-wise convolution 2D layer support

KerasDepthwiseConvolution2D

public KerasDepthwiseConvolution2D(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras configuration

• throws UnsupportedKerasConfigurationException Unsupported Keras configuration

getDepthwiseConvolution2DLayer

public DepthwiseConvolution2D getDepthwiseConvolution2DLayer() 

Get DL4J DepthwiseConvolution2D.

• return DepthwiseConvolution2D

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

KerasPReLU

[source]

Imports PReLU layer from Keras

KerasPReLU

public KerasPReLU(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Invalid Keras config

getPReLULayer

public PReLULayer getPReLULayer() 

Get DL4J ActivationLayer.

• return ActivationLayer

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights Dense layer weights

KerasThresholdedReLU

[source]

Imports ThresholdedReLU layer from Keras

KerasThresholdedReLU

public KerasThresholdedReLU(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Invalid Keras config

getActivationLayer

public ActivationLayer getActivationLayer() 

Get DL4J ActivationLayer.

• return ActivationLayer

KerasLeakyReLU

[source]

Imports LeakyReLU layer from Keras

KerasLeakyReLU

public KerasLeakyReLU(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• param enforceTrainingConfig whether to enforce training-related configuration options

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Invalid Keras config

getActivationLayer

public ActivationLayer getActivationLayer() 

Get DL4J ActivationLayer.

• return ActivationLayer

KerasBidirectional

[source]

Builds a DL4J Bidirectional layer from a Keras Bidirectional layer wrapper

KerasBidirectional

public KerasBidirectional(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getUnderlyingRecurrentLayer

public Layer getUnderlyingRecurrentLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getBidirectionalLayer

public Bidirectional getBidirectionalLayer() 

Get DL4J Bidirectional layer.

• return Bidirectional Layer

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

public int getNumParams() 

Returns number of trainable parameters in layer.

• return number of trainable parameters

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException 

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• see org.deeplearning4j.nn.conf.InputPreProcessor

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for Bidirectional layer.

• param weights Map of weights

KerasSimpleRnn

[source]

Imports a Keras SimpleRNN layer as a DL4J SimpleRnn layer.

KerasSimpleRnn

public KerasSimpleRnn(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSimpleRnnLayer

public Layer getSimpleRnnLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

public int getNumParams() 

Returns number of trainable parameters in layer.

• return number of trainable parameters (12)

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException 

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• see org.deeplearning4j.nn.conf.InputPreProcessor

getUnroll

public boolean getUnroll() 

Get whether SimpleRnn layer should be unrolled (for truncated BPTT).

• return whether RNN should be unrolled (boolean)

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights Simple RNN weights

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

KerasRnnUtils

[source]

Utility functions for Keras RNN layers

getUnrollRecurrentLayer

public static boolean getUnrollRecurrentLayer(KerasLayerConfiguration conf, Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException 

Get unroll parameter to decide whether to unroll RNN with BPTT or not.

• param conf KerasLayerConfiguration

• param layerConfig dictionary containing Keras layer properties

• return boolean unroll parameter

• throws InvalidKerasConfigurationException Invalid Keras configuration

getRecurrentDropout

public static double getRecurrentDropout(KerasLayerConfiguration conf, Map<String, Object> layerConfig)
            throws UnsupportedKerasConfigurationException, InvalidKerasConfigurationException 

Get recurrent weight dropout from Keras layer configuration. Non-zero dropout rates are currently not supported.

• param conf KerasLayerConfiguration

• param layerConfig dictionary containing Keras layer properties

• return recurrent dropout rate

• throws InvalidKerasConfigurationException Invalid Keras configuration

KerasLSTM

[source]

Imports a Keras LSTM layer as a DL4J LSTM layer.

KerasLSTM

public KerasLSTM(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getLSTMLayer

public Layer getLSTMLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

public int getNumParams() 

Returns number of trainable parameters in layer.

• return number of trainable parameters (12)

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException 

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

• see org.deeplearning4j.nn.conf.InputPreProcessor

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights LSTM layer weights

getUnroll

public boolean getUnroll() 

Get whether LSTM layer should be unrolled (for truncated BPTT).

• return whether to unroll the LSTM

getGateActivationFromConfig

public IActivation getGateActivationFromConfig(Map<String, Object> layerConfig)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Get LSTM gate activation function from Keras layer configuration.

• param layerConfig dictionary containing Keras layer configuration

• return LSTM inner activation function

• throws InvalidKerasConfigurationException Invalid Keras config

getForgetBiasInitFromConfig

public double getForgetBiasInitFromConfig(Map<String, Object> layerConfig, boolean train)
            throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException 

Get LSTM forget gate bias initialization from Keras layer configuration.

• param layerConfig dictionary containing Keras layer configuration

• return LSTM forget gate bias init

• throws InvalidKerasConfigurationException Unsupported Keras config

KerasBatchNormalization

[source]

Imports a BatchNormalization layer from Keras.

KerasBatchNormalization

public KerasBatchNormalization(Integer kerasVersion) throws UnsupportedKerasConfigurationException 

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getBatchNormalizationLayer

public BatchNormalization getBatchNormalizationLayer() 

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException 

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

public int getNumParams() 

Returns number of trainable parameters in layer.

• return number of trainable parameters (4)

setWeights

public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException 

Set weights for layer.

• param weights Map from parameter name to INDArray.