Keras wrapper layers

KerasBidirectional

[source]

Builds a DL4J Bidirectional layer from a Keras Bidirectional layer wrapper

KerasBidirectional
  1. public KerasBidirectional(Integer kerasVersion) throws UnsupportedKerasConfigurationException

Pass-through constructor from KerasLayer

  • param kerasVersion major keras version
  • throws UnsupportedKerasConfigurationException Unsupported Keras config
getUnderlyingRecurrentLayer
  1. 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
  1. public Bidirectional getBidirectionalLayer()

Get DL4J Bidirectional layer.

  • return Bidirectional Layer
getOutputType
  1. 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
  1. public int getNumParams()

Returns number of trainable parameters in layer.

  • return number of trainable parameters
getInputPreprocessor
  1. 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
  1. public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException

Set weights for Bidirectional layer.

  • param weights Map of weights