Uses of Class
org.deeplearning4j.nn.modelimport.keras.KerasLayer

Packages that use KerasLayer

Package	Description
org.deeplearning4j.nn.modelimport.keras
org.deeplearning4j.nn.modelimport.keras.layers
org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations
org.deeplearning4j.nn.modelimport.keras.layers.convolutional
org.deeplearning4j.nn.modelimport.keras.layers.core
org.deeplearning4j.nn.modelimport.keras.layers.custom
org.deeplearning4j.nn.modelimport.keras.layers.embeddings
org.deeplearning4j.nn.modelimport.keras.layers.local
org.deeplearning4j.nn.modelimport.keras.layers.noise
org.deeplearning4j.nn.modelimport.keras.layers.normalization
org.deeplearning4j.nn.modelimport.keras.layers.pooling
org.deeplearning4j.nn.modelimport.keras.layers.recurrent
org.deeplearning4j.nn.modelimport.keras.layers.wrappers
org.deeplearning4j.nn.modelimport.keras.utils

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras

Fields in org.deeplearning4j.nn.modelimport.keras with type parameters of type KerasLayer

Modifier and Type	Field and Description
protected Map<String,KerasLayer>	KerasModel.layers
protected List<KerasLayer>	KerasModel.layersOrdered

Method parameters in org.deeplearning4j.nn.modelimport.keras with type arguments of type KerasLayer

Modifier and Type	Method and Description
protected long	KerasLayer.getNInFromConfig(Map<String,? extends KerasLayer> previousLayers) Some DL4J layers need explicit specification of number of inputs, which Keras does infer.
static void	KerasLayer.registerCustomLayer(String layerName, Class<? extends KerasLayer> configClass) Register a custom layer

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers

Modifier and Type	Class and Description
class	KerasInput Imports an Input layer from Keras.
class	KerasLoss
class	KerasTFOpLayer

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations

Modifier and Type	Class and Description
class	KerasELU
class	KerasLeakyReLU Imports LeakyReLU layer from Keras
class	KerasPReLU Imports PReLU layer from Keras
class	KerasReLU
class	KerasSoftmax
class	KerasThresholdedReLU Imports ThresholdedReLU layer from Keras

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.convolutional

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.convolutional

Modifier and Type	Class and Description
class	KerasAtrousConvolution1D
class	KerasAtrousConvolution2D
class	KerasConvolution
class	KerasConvolution1D
class	KerasConvolution2D
class	KerasConvolution3D
class	KerasCropping1D
class	KerasCropping2D
class	KerasCropping3D
class	KerasDeconvolution2D
class	KerasDepthwiseConvolution2D
class	KerasSeparableConvolution2D
class	KerasSpaceToDepth
class	KerasUpsampling1D Keras Upsampling1D layer support
class	KerasUpsampling2D Keras Upsampling2D layer support
class	KerasUpsampling3D Keras Upsampling3D layer support
class	KerasZeroPadding1D Imports a Keras ZeroPadding 1D layer.
class	KerasZeroPadding2D Imports a Keras ZeroPadding 2D layer.
class	KerasZeroPadding3D Imports a Keras ZeroPadding 3D layer.

Constructor parameters in org.deeplearning4j.nn.modelimport.keras.layers.convolutional with type arguments of type KerasLayer

Constructor and Description
KerasDepthwiseConvolution2D(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers, List<String> layerNamesToCheck, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.core

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.core

Modifier and Type	Class and Description
class	KerasActivation
class	KerasDense Imports a Dense layer from Keras.
class	KerasDropout Imports a Dropout layer from Keras.
class	KerasFlatten
class	KerasLambda Wraps a DL4J SameDiffLambda into a KerasLayer
class	KerasMasking Imports Keras masking layers.
class	KerasMerge
class	KerasPermute Imports Permute layer from Keras
class	KerasRepeatVector
class	KerasReshape Imports Reshape layer from Keras
class	KerasSpatialDropout Keras wrapper for DL4J dropout layer with SpatialDropout, works 1D-3D.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.custom

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.custom

Modifier and Type	Class and Description
class	KerasLRN
class	KerasPoolHelper

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.embeddings

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.embeddings

Modifier and Type	Class and Description
class	Keras2DEmbedding Imports an Embedding layer from Keras.
class	KerasEmbedding Imports an Embedding layer from Keras.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.local

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.local

Modifier and Type	Class and Description
class	KerasLocallyConnected1D
class	KerasLocallyConnected2D

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.noise

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.noise

Modifier and Type	Class and Description
class	KerasAlphaDropout Keras wrapper for DL4J dropout layer with AlphaDropout.
class	KerasGaussianDropout Keras wrapper for DL4J dropout layer with GaussianDropout.
class	KerasGaussianNoise Keras wrapper for DL4J dropout layer with GaussianNoise.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.normalization

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.normalization

Modifier and Type	Class and Description
class	KerasBatchNormalization

Constructor parameters in org.deeplearning4j.nn.modelimport.keras.layers.normalization with type arguments of type KerasLayer

Constructor and Description
KerasBatchNormalization(Map<String,Object> layerConfig, boolean enforceTrainingConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.pooling

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.pooling

Modifier and Type	Class and Description
class	KerasGlobalPooling Imports a Keras Pooling layer as a DL4J Subsampling layer.
class	KerasPooling1D Imports a Keras 1D Pooling layer as a DL4J Subsampling layer.
class	KerasPooling2D Imports a Keras 2D Pooling layer as a DL4J Subsampling layer.
class	KerasPooling3D Imports a Keras 3D Pooling layer as a DL4J Subsampling3D layer.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.recurrent

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.recurrent

Modifier and Type	Class and Description
class	KerasLSTM Imports a Keras LSTM layer as a DL4J LSTM layer.
class	KerasSimpleRnn Imports a Keras SimpleRNN layer as a DL4J SimpleRnn layer.

Methods in org.deeplearning4j.nn.modelimport.keras.layers.recurrent with parameters of type KerasLayer

Modifier and Type	Method and Description
static boolean	KerasRnnUtils.isRnnLayer(KerasLayer kerasLayer) Returns true if the given layer is an KerasLSTM, KerasSimpleRnn, KerasBidirectional

Constructor parameters in org.deeplearning4j.nn.modelimport.keras.layers.recurrent with type arguments of type KerasLayer

Constructor and Description
KerasLSTM(Map<String,Object> layerConfig, boolean enforceTrainingConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.
KerasLSTM(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.
KerasSimpleRnn(Map<String,Object> layerConfig, boolean enforceTrainingConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.
KerasSimpleRnn(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.wrappers

Subclasses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.layers.wrappers

Modifier and Type	Class and Description
class	KerasBidirectional

Constructor parameters in org.deeplearning4j.nn.modelimport.keras.layers.wrappers with type arguments of type KerasLayer

Constructor and Description
KerasBidirectional(Map<String,Object> layerConfig, boolean enforceTrainingConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.
KerasBidirectional(Map<String,Object> layerConfig, Map<String,? extends KerasLayer> previousLayers) Constructor from parsed Keras layer configuration dictionary.

Uses of KerasLayer in org.deeplearning4j.nn.modelimport.keras.utils

Methods in org.deeplearning4j.nn.modelimport.keras.utils that return KerasLayer

Modifier and Type	Method and Description
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.

Method parameters in org.deeplearning4j.nn.modelimport.keras.utils with type arguments of type KerasLayer

Modifier and Type	Method and Description
static Model	KerasModelUtils.copyWeightsToModel(Model model, Map<String,KerasLayer> kerasLayers) Helper function to import weights from nested Map into existing model.
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.
static KerasLayer	KerasLayerUtils.getKerasLayerFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf, Map<String,Class<? extends KerasLayer>> customLayers, Map<String,SameDiffLambdaLayer> lambdaLayers, Map<String,? extends KerasLayer> previousLayers) Build KerasLayer from a Keras layer configuration.
static org.nd4j.common.primitives.Pair<Boolean,Double>	KerasLayerUtils.getMaskingConfiguration(List<String> inboundLayerNames, Map<String,? extends KerasLayer> previousLayers)
static void	KerasModelUtils.importWeights(Hdf5Archive weightsArchive, String weightsRoot, Map<String,KerasLayer> layers, int kerasVersion, String backend) Store weights to import with each associated Keras layer.