Recurrent Layers

KerasSimpleRnn

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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

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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

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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