Uses of Class
org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException

Packages that use UnsupportedKerasConfigurationException

Package	Description
org.deeplearning4j.nn.modelimport.keras
org.deeplearning4j.nn.modelimport.keras.config
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 UnsupportedKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras

Methods in org.deeplearning4j.nn.modelimport.keras that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
ComputationGraph	KerasModel.getComputationGraph() Build a ComputationGraph from this Keras Model configuration and import weights.
ComputationGraph	KerasModel.getComputationGraph(boolean importWeights) Build a ComputationGraph from this Keras Model configuration and (optionally) import weights.
ComputationGraphConfiguration	KerasModel.getComputationGraphConfiguration() Configure a ComputationGraph from this Keras Model configuration.
MultiLayerConfiguration	KerasSequentialModel.getMultiLayerConfiguration() Configure a MultiLayerConfiguration from this Keras Sequential model configuration.
MultiLayerNetwork	KerasSequentialModel.getMultiLayerNetwork() Build a MultiLayerNetwork from this Keras Sequential model configuration.
MultiLayerNetwork	KerasSequentialModel.getMultiLayerNetwork(boolean importWeights) Build a MultiLayerNetwork from this Keras Sequential model configuration and import weights.
protected long	KerasLayer.getNInFromConfig(Map<String,? extends KerasLayer> previousLayers) Some DL4J layers need explicit specification of number of inputs, which Keras does infer.
InputType	KerasLayer.getOutputType(InputType... inputType) Get layer output type.
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(InputStream modelHdf5Stream) Load Keras (Functional API) Model saved using model.save_model(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(InputStream modelHdf5Stream, boolean enforceTrainingConfig) Load Keras (Functional API) Model saved using model.save_model(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(String modelHdf5Filename) Load Keras (Functional API) Model saved using model.save_model(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(String modelHdf5Filename, boolean enforceTrainingConfig) Load Keras (Functional API) Model saved using model.save_model(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(String modelHdf5Filename, int[] inputShape, boolean enforceTrainingConfig) Load Keras (Functional API) Model saved using model.save_model(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(String modelJsonFilename, String weightsHdf5Filename) Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
static ComputationGraph	KerasModelImport.importKerasModelAndWeights(String modelJsonFilename, String weightsHdf5Filename, boolean enforceTrainingConfig) Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
static ComputationGraphConfiguration	KerasModelImport.importKerasModelConfiguration(String modelJsonFilename) Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
static ComputationGraphConfiguration	KerasModelImport.importKerasModelConfiguration(String modelJsonFilename, boolean enforceTrainingConfig) Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
static MultiLayerConfiguration	KerasModelImport.importKerasSequentialConfiguration(String modelJsonFilename) Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
static MultiLayerConfiguration	KerasModelImport.importKerasSequentialConfiguration(String modelJsonFilename, boolean enforceTrainingConfig) Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(InputStream modelHdf5Stream) Load Keras Sequential model saved using model.save_model(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(InputStream modelHdf5Stream, boolean enforceTrainingConfig) Load Keras Sequential model saved using model.save_model(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(String modelHdf5Filename) Load Keras Sequential model saved using model.save_model(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(String modelHdf5Filename, boolean enforceTrainingConfig) Load Keras Sequential model saved using model.save_model(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(String modelHdf5Filename, int[] inputShape, boolean enforceTrainingConfig) Load Keras Sequential model saved using model.save_model(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(String modelJsonFilename, String weightsHdf5Filename) Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
static MultiLayerNetwork	KerasModelImport.importKerasSequentialModelAndWeights(String modelJsonFilename, String weightsHdf5Filename, boolean enforceTrainingConfig) Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
String	Hdf5Archive.readAttributeAsFixedLengthString(String attributeName, int bufferSize) Read string attribute from group path.
String	Hdf5Archive.readAttributeAsJson(String attributeName, String... groups) Read JSON-formatted string attribute from group path.
String	Hdf5Archive.readAttributeAsString(String attributeName, String... groups) Read string attribute from group path.
INDArray	Hdf5Archive.readDataSet(String datasetName, String... groups) Read data set as ND4J array from group path.

Constructors in org.deeplearning4j.nn.modelimport.keras that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasLayer() Default constructor.
KerasLayer(Integer kerasVersion) Constructor with Keras version only.
KerasLayer(Map<String,Object> layerConfig) Constructor.
KerasLayer(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor.
KerasModel(KerasModelBuilder modelBuilder) (Recommended) Builder-pattern constructor for (Functional API) Model.
KerasModel(String modelJson, String modelYaml, Hdf5Archive weightsArchive, String weightsRoot, String trainingJson, Hdf5Archive trainingArchive, boolean enforceTrainingConfig, int[] inputShape, KerasLayer.DimOrder dimOrder) (Not recommended) Constructor for (Functional API) Model from model configuration (JSON or YAML), training configuration (JSON), weights, and "training mode" boolean indicator.
KerasSequentialModel(KerasModelBuilder modelBuilder) (Recommended) Builder-pattern constructor for Sequential model.
KerasSequentialModel(String modelJson, String modelYaml, Hdf5Archive weightsArchive, String weightsRoot, String trainingJson, Hdf5Archive trainingArchive, boolean enforceTrainingConfig, int[] inputShape) (Not recommended) Constructor for Sequential model from model configuration (JSON or YAML), training configuration (JSON), weights, and "training mode" boolean indicator.

Uses of UnsupportedKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.config

Methods in org.deeplearning4j.nn.modelimport.keras.config that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
static KerasLayerConfiguration	KerasLayerConfigurationFactory.get(Integer kerasMajorVersion)

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

Methods in org.deeplearning4j.nn.modelimport.keras.layers that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
FeedForwardLayer	KerasLoss.getLossLayer(InputType type) Get DL4J LossLayer.
InputType	KerasInput.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasLoss.getOutputType(InputType... inputType) Get layer output type.

Constructors in org.deeplearning4j.nn.modelimport.keras.layers that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasInput(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasInput(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasInput(String layerName, int[] inputShape) Constructor from layer name and input shape.
KerasInput(String layerName, int[] inputShape, boolean enforceTrainingConfig) Constructor from layer name and input shape.
KerasLoss(String layerName, String inboundLayerName, String kerasLoss) Constructor from layer name and input shape.
KerasLoss(String layerName, String inboundLayerName, String kerasLoss, boolean enforceTrainingConfig) Constructor from layer name and input shape.
KerasTFOpLayer(Integer kerasVersion)
KerasTFOpLayer(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasTFOpLayer(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasELU(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasELU(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLeakyReLU(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLeakyReLU(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPReLU(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPReLU(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasReLU(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasReLU(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSoftmax(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSoftmax(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasThresholdedReLU(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasThresholdedReLU(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Methods in org.deeplearning4j.nn.modelimport.keras.layers.convolutional that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
static ConvolutionMode	KerasConvolutionUtils.getConvolutionModeFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get convolution border mode from Keras layer configuration.
static int[]	KerasConvolutionUtils.getPaddingFromBorderModeConfig(Map<String,Object> layerConfig, int dimension, KerasLayerConfiguration conf, int kerasMajorVersion) Get (convolution) padding from Keras layer configuration.

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.convolutional that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasAtrousConvolution1D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasAtrousConvolution1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasAtrousConvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution()
KerasConvolution(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasConvolution(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution1D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasConvolution1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasConvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution3D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasConvolution3D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasConvolution3D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping3D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasCropping3D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDeconvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasDeconvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDeconvolution2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasDepthwiseConvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
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.
KerasSeparableConvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasSeparableConvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSeparableConvolution2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSpaceToDepth(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSpaceToDepth(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling3D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling3D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding3D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding3D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.core that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasActivation(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasActivation(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDense(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasDense(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDense(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDropout(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasDropout(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasFlatten(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasFlatten(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLambda(Map<String,Object> layerConfig, boolean enforceTrainingConfig, SameDiffLayer sameDiffLayer) Constructor from parsed Keras layer configuration dictionary.
KerasLambda(Map<String,Object> layerConfig, SameDiffLayer sameDiffLayer) Constructor from parsed Keras layer configuration dictionary.
KerasMasking(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasMasking(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasMerge(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasMerge(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasMerge(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasMerge(Map<String,Object> layerConfig, ElementWiseVertex.Op mergeMode, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary and merge mode passed in.
KerasPermute(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPermute(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasRepeatVector(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasRepeatVector(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasReshape(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasReshape(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSpatialDropout(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasSpatialDropout(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSpatialDropout(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.custom that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasLRN(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLRN(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPoolHelper(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPoolHelper(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.embeddings that throw UnsupportedKerasConfigurationException

Constructor and Description
Keras2DEmbedding() Pass through constructor for unit tests
Keras2DEmbedding(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
Keras2DEmbedding(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasEmbedding() Pass through constructor for unit tests
KerasEmbedding(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasEmbedding(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.local that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasLocallyConnected1D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasLocallyConnected1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLocallyConnected1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLocallyConnected2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasLocallyConnected2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLocallyConnected2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.noise that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasAlphaDropout(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasAlphaDropout(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasAlphaDropout(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasGaussianDropout(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasGaussianDropout(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasGaussianDropout(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasGaussianNoise(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasGaussianNoise(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasGaussianNoise(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.normalization that throw UnsupportedKerasConfigurationException

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

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

Methods in org.deeplearning4j.nn.modelimport.keras.layers.pooling that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
static int[]	KerasPoolingUtils.mapGlobalPoolingDimensions(String className, KerasLayerConfiguration conf, KerasLayer.DimOrder dimOrder) Map Keras pooling layers to DL4J pooling dimensions.
static PoolingType	KerasPoolingUtils.mapPoolingType(String className, KerasLayerConfiguration conf) Map Keras pooling layers to DL4J pooling types.

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.pooling that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasGlobalPooling(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasGlobalPooling(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling1D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling1D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling3D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasPooling3D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

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

Methods in org.deeplearning4j.nn.modelimport.keras.layers.recurrent that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
double	KerasLSTM.getForgetBiasInitFromConfig(Map<String,Object> layerConfig, boolean train) Get LSTM forget gate bias initialization from Keras layer configuration.
IActivation	KerasLSTM.getGateActivationFromConfig(Map<String,Object> layerConfig) Get LSTM gate activation function from Keras layer configuration.
static double	KerasRnnUtils.getRecurrentDropout(KerasLayerConfiguration conf, Map<String,Object> layerConfig) Get recurrent weight dropout from Keras layer configuration.

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.recurrent that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasLSTM(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasLSTM(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasLSTM(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.
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(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasSimpleRnn(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSimpleRnn(Map<String,Object> layerConfig, boolean enforceTrainingConfig) 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 UnsupportedKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.wrappers

Constructors in org.deeplearning4j.nn.modelimport.keras.layers.wrappers that throw UnsupportedKerasConfigurationException

Constructor and Description
KerasBidirectional(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasBidirectional(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
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 UnsupportedKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.utils

Methods in org.deeplearning4j.nn.modelimport.keras.utils that throw UnsupportedKerasConfigurationException

Modifier and Type	Method and Description
KerasModel	KerasModelBuilder.buildModel() Build a KerasModel (corresponding to ComputationGraph) from this model builder.
KerasSequentialModel	KerasModelBuilder.buildSequential() Build a KerasSequentialModel (corresponding to MultiLayerNetwork) from this model builder.
static void	KerasLayerUtils.checkForUnsupportedConfigurations(Map<String,Object> layerConfig, boolean enforceTrainingConfig, KerasLayerConfiguration conf) Checks whether layer config contains unsupported options.
static Activation	KerasActivationUtils.getActivationFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get activation enum value from Keras layer configuration.
static double	KerasLayerUtils.getBiasL1RegularizationFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig, KerasLayerConfiguration conf) Get L1 bias regularization (if any) from Keras bias regularization configuration.
static LayerConstraint	KerasConstraintUtils.getConstraintsFromConfig(Map<String,Object> layerConfig, String constraintField, KerasLayerConfiguration conf, int kerasMajorVersion) Get constraint initialization from Keras layer configuration.
static IActivation	KerasActivationUtils.getIActivationFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get activation function from 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 IWeightInit	KerasInitilizationUtils.getWeightInitFromConfig(Map<String,Object> layerConfig, String initField, boolean enforceTrainingConfig, KerasLayerConfiguration conf, int kerasMajorVersion) Get weight initialization from Keras layer configuration.
static double	KerasRegularizerUtils.getWeightRegularizerFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf, String configField, String regularizerType) Get weight regularization from Keras weight regularization configuration.
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.
static LayerConstraint	KerasConstraintUtils.mapConstraint(String kerasConstraint, KerasLayerConfiguration conf, Map<String,Object> constraintConfig) Map Keras to DL4J constraint.
static ILossFunction	KerasLossUtils.mapLossFunction(String kerasLoss, KerasLayerConfiguration conf) Map Keras to DL4J loss functions.
static IUpdater	KerasOptimizerUtils.mapOptimizer(Map<String,Object> optimizerConfig) Map Keras optimizer to DL4J IUpdater.
static Activation	KerasActivationUtils.mapToActivation(String kerasActivation, KerasLayerConfiguration conf) Map Keras to DL4J activation functions.
static IActivation	KerasActivationUtils.mapToIActivation(String kerasActivation, KerasLayerConfiguration conf) Map Keras to DL4J activation functions.
static IWeightInit	KerasInitilizationUtils.mapWeightInitialization(String kerasInit, KerasLayerConfiguration conf, Map<String,Object> initConfig, int kerasMajorVersion) Map Keras to DL4J weight initialization functions.
KerasModelBuilder	KerasModelBuilder.modelHdf5Filename(String modelHdf5Filename) Set full model HDF5 (architecture, weights and training configuration) by providing the HDF5 filename.