org.deeplearning4j.nn.modelimport.keras.layers

Class KerasFlatten

java.lang.Object

org.deeplearning4j.nn.modelimport.keras.KerasLayer

org.deeplearning4j.nn.modelimport.keras.layers.KerasFlatten

public class KerasFlatten
extends KerasLayer

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

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

KerasLayer.DimOrder

Field Summary

Fields inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

className, DIM_ORDERING_TENSORFLOW, DIM_ORDERING_THEANO, dimOrder, dropout, inboundLayerNames, INIT_GLOROT_NORMAL, INIT_GLOROT_UNIFORM, INIT_HE_NORMAL, INIT_HE_UNIFORM, INIT_IDENTITY, INIT_LECUN_UNIFORM, INIT_NORMAL, INIT_ORTHOGONAL, INIT_UNIFORM, INIT_ZERO, inputShape, KERAS_ACTIVATION_HARD_SIGMOID, KERAS_ACTIVATION_LINEAR, KERAS_ACTIVATION_RELU, KERAS_ACTIVATION_SIGMOID, KERAS_ACTIVATION_SOFTMAX, KERAS_ACTIVATION_SOFTPLUS, KERAS_ACTIVATION_SOFTSIGN, KERAS_ACTIVATION_TANH, KERAS_LOSS_BINARY_CROSSENTROPY, KERAS_LOSS_CATEGORICAL_CROSSENTROPY, KERAS_LOSS_COSINE_PROXIMITY, KERAS_LOSS_HINGE, KERAS_LOSS_KLD, KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE, KERAS_LOSS_MAE, KERAS_LOSS_MAPE, KERAS_LOSS_MEAN_ABSOLUTE_ERROR, KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR, KERAS_LOSS_MEAN_SQUARED_ERROR, KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR, KERAS_LOSS_MSE, KERAS_LOSS_MSLE, KERAS_LOSS_POISSON, KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY, KERAS_LOSS_SQUARED_HINGE, layer, LAYER_BORDER_MODE_FULL, LAYER_BORDER_MODE_SAME, LAYER_BORDER_MODE_VALID, LAYER_CLASS_NAME_ACTIVATION, LAYER_CLASS_NAME_AVERAGE_POOLING_1D, LAYER_CLASS_NAME_AVERAGE_POOLING_2D, LAYER_CLASS_NAME_BATCHNORMALIZATION, LAYER_CLASS_NAME_CONVOLUTION_1D, LAYER_CLASS_NAME_CONVOLUTION_2D, LAYER_CLASS_NAME_DENSE, LAYER_CLASS_NAME_DROPOUT, LAYER_CLASS_NAME_EMBEDDING, LAYER_CLASS_NAME_FLATTEN, LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D, LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D, LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D, LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D, LAYER_CLASS_NAME_INPUT, LAYER_CLASS_NAME_LSTM, LAYER_CLASS_NAME_MAX_POOLING_1D, LAYER_CLASS_NAME_MAX_POOLING_2D, LAYER_CLASS_NAME_MERGE, LAYER_CLASS_NAME_TIME_DISTRIBUTED, LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE, LAYER_CLASS_NAME_ZERO_PADDING_1D, LAYER_CLASS_NAME_ZERO_PADDING_2D, LAYER_FIELD_ACTIVATION, LAYER_FIELD_B_REGULARIZER, LAYER_FIELD_BATCH_INPUT_SHAPE, LAYER_FIELD_BORDER_MODE, LAYER_FIELD_CLASS_NAME, LAYER_FIELD_CONFIG, LAYER_FIELD_DIM_ORDERING, LAYER_FIELD_DROPOUT, LAYER_FIELD_DROPOUT_W, LAYER_FIELD_INBOUND_NODES, LAYER_FIELD_INIT, LAYER_FIELD_LAYER, LAYER_FIELD_NAME, LAYER_FIELD_NB_COL, LAYER_FIELD_NB_FILTER, LAYER_FIELD_NB_ROW, LAYER_FIELD_OUTPUT_DIM, LAYER_FIELD_POOL_SIZE, LAYER_FIELD_STRIDES, LAYER_FIELD_SUBSAMPLE, LAYER_FIELD_W_REGULARIZER, layerName, REGULARIZATION_TYPE_L1, REGULARIZATION_TYPE_L2, vertex, weightL1Regularization, weightL2Regularization, weights

Constructor Summary

Constructors

Constructor and Description
KerasFlatten(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasFlatten(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

Method Summary

Modifier and Type	Method and Description
InputPreProcessor	getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputType	getOutputType(InputType... inputType) Get layer output type.
boolean	isInputPreProcessor() Whether this Keras layer maps to a DL4J InputPreProcessor.

Methods inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

checkForUnsupportedConfigurations, copyWeightsToLayer, getActivationFromConfig, getBiasL1RegularizationFromConfig, getClassName, getClassNameFromConfig, getConvolutionModeFromConfig, getDimOrder, getDropoutFromConfig, getInboundLayerNames, getInboundLayerNamesFromConfig, getInnerLayerConfigFromConfig, getInputShape, getKerasLayerFromConfig, getKerasLayerFromConfig, getKernelSizeFromConfig, getLayer, getLayerName, getLayerNameFromConfig, getNOutFromConfig, getNumParams, getPaddingFromBorderModeConfig, getStrideFromConfig, getTimeDistributedLayerConfig, getVertex, getWeightInitFromConfig, getWeightL1RegularizationFromConfig, getWeightL2RegularizationFromConfig, isLayer, isValidInboundLayer, isVertex, mapActivation, mapLossFunction, mapPoolingDimensions, mapPoolingType, mapWeightInitialization, setDimOrder, setInboundLayerNames, setWeights, usesRegularization

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KerasFlatten

public KerasFlatten(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
             throws InvalidKerasConfigurationException,
                    UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

KerasFlatten

public KerasFlatten(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                    boolean enforceTrainingConfig)
             throws InvalidKerasConfigurationException,
                    UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig - whether to enforce training-related configuration options

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

Method Detail

isInputPreProcessor

public boolean isInputPreProcessor()

Whether this Keras layer maps to a DL4J InputPreProcessor.

Overrides:

isInputPreProcessor in class KerasLayer

Returns:

true

getInputPreprocessor

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

Gets appropriate DL4J InputPreProcessor for given InputTypes.

Overrides:

getInputPreprocessor in class KerasLayer

Parameters:

inputType - Array of InputTypes

Returns:

DL4J InputPreProcessor

Throws:

InvalidKerasConfigurationException

See Also:

InputPreProcessor

getOutputType

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

Get layer output type.

Overrides:

getOutputType in class KerasLayer

Parameters:

inputType - Array of InputTypes

Returns:

output type as InputType

Throws:

InvalidKerasConfigurationException