Recurrent Layers
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
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
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
Last modified 9mo ago