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

Packages that use InvalidKerasConfigurationException

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.preprocessing.sequence
org.deeplearning4j.nn.modelimport.keras.preprocessing.text
org.deeplearning4j.nn.modelimport.keras.utils

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

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

Modifier and Type	Method and Description
void	KerasLayer.copyWeightsToLayer(Layer layer) Copy Keras layer weights to DL4J Layer.
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.
InputPreProcessor	KerasLayer.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
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.
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(...).
boolean	KerasLayer.isValidInboundLayer() Indicates whether this layer a valid inbound layer.
void	KerasLayer.setWeights(Map<String,INDArray> weights) Set weights for Keras layer.

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

Constructor and Description
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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers

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

Modifier and Type	Method and Description
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 InvalidKerasConfigurationException

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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations

Methods in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	KerasELU.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasLeakyReLU.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasPReLU.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasReLU.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasSoftmax.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasThresholdedReLU.getOutputType(InputType... inputType) Get layer output type.
void	KerasPReLU.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.convolutional

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

Modifier and Type	Method and Description
static ConvolutionMode	KerasConvolutionUtils.getConvolutionModeFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get convolution border mode from Keras layer configuration.
INDArray	KerasConvolution.getConvParameterValues(INDArray kerasParamValue) Return processed parameter values obtained from Keras convolutional layers.
static CNN2DFormat	KerasConvolutionUtils.getDataFormatFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration layerConfiguration) Return the CNN2DFormat from the configuration .
static int[]	KerasConvolutionUtils.getDilationRate(Map<String,Object> layerConfig, int dimension, KerasLayerConfiguration conf, boolean forceDilation) Get atrous / dilation rate from config
InputPreProcessor	KerasConvolution1D.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
static int[]	KerasConvolutionUtils.getKernelSizeFromConfig(Map<String,Object> layerConfig, int dimension, KerasLayerConfiguration conf, int kerasMajorVersion) Get (convolution) kernel size from Keras layer configuration.
InputType	KerasAtrousConvolution1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasAtrousConvolution2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasConvolution1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasConvolution2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasConvolution3D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasCropping1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasCropping2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasCropping3D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasDeconvolution2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasDepthwiseConvolution2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasSeparableConvolution2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasSpaceToDepth.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasUpsampling1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasUpsampling2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasUpsampling3D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasZeroPadding1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasZeroPadding2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasZeroPadding3D.getOutputType(InputType... inputType) Get layer output type.
static int[]	KerasConvolutionUtils.getPaddingFromBorderModeConfig(Map<String,Object> layerConfig, int dimension, KerasLayerConfiguration conf, int kerasMajorVersion) Get (convolution) padding from Keras layer configuration.
static int[]	KerasConvolutionUtils.getStrideFromConfig(Map<String,Object> layerConfig, int dimension, KerasLayerConfiguration conf) Get (convolution) stride from Keras layer configuration.
void	KerasConvolution.setWeights(Map<String,INDArray> weights) Set weights for layer.
void	KerasConvolution1D.setWeights(Map<String,INDArray> weights) Set weights for layer.
void	KerasDepthwiseConvolution2D.setWeights(Map<String,INDArray> weights) Set weights for layer.
void	KerasSeparableConvolution2D.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

Constructor and Description
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(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(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(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(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(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(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(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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.core

Methods in org.deeplearning4j.nn.modelimport.keras.layers.core that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputPreProcessor	KerasFlatten.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputPreProcessor	KerasPermute.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputPreProcessor	KerasReshape.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputType	KerasActivation.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasDense.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasDropout.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasFlatten.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasLambda.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasMasking.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasPermute.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasRepeatVector.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasReshape.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasSpatialDropout.getOutputType(InputType... inputType) Get layer output type.
void	KerasDense.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

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(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(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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.custom

Methods in org.deeplearning4j.nn.modelimport.keras.layers.custom that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	KerasLRN.getOutputType(InputType... inputType) Get layer output type.

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

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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.embeddings

Methods in org.deeplearning4j.nn.modelimport.keras.layers.embeddings that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	Keras2DEmbedding.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasEmbedding.getOutputType(InputType... inputType) Get layer output type.
void	Keras2DEmbedding.setWeights(Map<String,INDArray> weights) Set weights for layer.
void	KerasEmbedding.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

Constructor and Description
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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.local

Methods in org.deeplearning4j.nn.modelimport.keras.layers.local that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	KerasLocallyConnected1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasLocallyConnected2D.getOutputType(InputType... inputType) Get layer output type.
void	KerasLocallyConnected1D.setWeights(Map<String,INDArray> weights) Set weights for 1D locally connected layer.
void	KerasLocallyConnected2D.setWeights(Map<String,INDArray> weights) Set weights for 2D locally connected layer.

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

Constructor and Description
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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.noise

Methods in org.deeplearning4j.nn.modelimport.keras.layers.noise that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	KerasAlphaDropout.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasGaussianDropout.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasGaussianNoise.getOutputType(InputType... inputType) Get layer output type.

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

Constructor and Description
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(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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.normalization

Methods in org.deeplearning4j.nn.modelimport.keras.layers.normalization that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputType	KerasBatchNormalization.getOutputType(InputType... inputType) Get layer output type.
void	KerasBatchNormalization.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

Constructor and Description
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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.pooling

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

Modifier and Type	Method and Description
InputPreProcessor	KerasGlobalPooling.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputType	KerasGlobalPooling.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasPooling1D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasPooling2D.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasPooling3D.getOutputType(InputType... inputType) Get layer output type.

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

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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.recurrent

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

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.
InputPreProcessor	KerasLSTM.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputPreProcessor	KerasSimpleRnn.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputType	KerasLSTM.getOutputType(InputType... inputType) Get layer output type.
InputType	KerasSimpleRnn.getOutputType(InputType... inputType) Get layer output type.
static double	KerasRnnUtils.getRecurrentDropout(KerasLayerConfiguration conf, Map<String,Object> layerConfig) Get recurrent weight dropout from Keras layer configuration.
static boolean	KerasRnnUtils.getUnrollRecurrentLayer(KerasLayerConfiguration conf, Map<String,Object> layerConfig) Get unroll parameter to decide whether to unroll RNN with BPTT or not.
void	KerasLSTM.setWeights(Map<String,INDArray> weights) Set weights for layer.
void	KerasSimpleRnn.setWeights(Map<String,INDArray> weights) Set weights for layer.

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

Constructor and Description
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(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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.layers.wrappers

Methods in org.deeplearning4j.nn.modelimport.keras.layers.wrappers that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
InputPreProcessor	KerasBidirectional.getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
InputType	KerasBidirectional.getOutputType(InputType... inputType) Get layer output type.
void	KerasBidirectional.setWeights(Map<String,INDArray> weights) Set weights for Bidirectional layer.

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

Constructor and Description
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 InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence

Methods in org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
static TimeSeriesGenerator	TimeSeriesGenerator.fromJson(String jsonFileName)

Constructors in org.deeplearning4j.nn.modelimport.keras.preprocessing.sequence that throw InvalidKerasConfigurationException

Constructor and Description
TimeSeriesGenerator(INDArray data, INDArray targets, int length)
TimeSeriesGenerator(INDArray data, INDArray targets, int length, int samplingRate, int stride, Integer startIndex, Integer endIndex, boolean shuffle, boolean reverse, int batchSize)

Uses of InvalidKerasConfigurationException in org.deeplearning4j.nn.modelimport.keras.preprocessing.text

Methods in org.deeplearning4j.nn.modelimport.keras.preprocessing.text that throw InvalidKerasConfigurationException

Modifier and Type	Method and Description
static KerasTokenizer	KerasTokenizer.fromJson(String jsonFileName) Import Keras Tokenizer from JSON file created with `tokenizer.to_json()` in Python.

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

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

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 Model	KerasModelUtils.copyWeightsToModel(Model model, Map<String,KerasLayer> kerasLayers) Helper function to import weights from nested Map into existing model.
static int	KerasModelUtils.determineKerasMajorVersion(Map<String,Object> modelConfig, KerasModelConfiguration config) Determine Keras major version
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 String	KerasLayerUtils.getClassNameFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get Keras layer class name from Keras layer configuration.
static LayerConstraint	KerasConstraintUtils.getConstraintsFromConfig(Map<String,Object> layerConfig, String constraintField, KerasLayerConfiguration conf, int kerasMajorVersion) Get constraint initialization from Keras layer configuration.
static KerasLayer.DimOrder	KerasLayerUtils.getDimOrderFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get Keras (backend) dimension order from Keras layer configuration.
static double	KerasLayerUtils.getDropoutFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get dropout from Keras layer configuration.
static boolean	KerasLayerUtils.getHasBiasFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Determine if layer should be instantiated with bias
static IActivation	KerasActivationUtils.getIActivationFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get activation function from Keras layer configuration.
static Map<String,Object>	KerasLayerUtils.getInnerLayerConfigFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get inner layer config from Keras layer configuration.
static int[]	KerasLayerUtils.getInputShapeFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get Keras input shape 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 String	KerasLayerUtils.getLayerNameFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get layer name from Keras layer configuration.
static double	KerasLayerUtils.getMaskingValueFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get mask value
static Integer	KerasLayerUtils.getNInFromInputDim(Map<String,Object> layerConfig, KerasLayerConfiguration conf)
static int	KerasLayerUtils.getNOutFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get number of outputs from Keras layer configuration.
static Map<String,Object>	KerasLayerUtils.getTimeDistributedLayerConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Extract inner layer config from TimeDistributed configuration and merge it into the outer config.
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 boolean	KerasLayerUtils.getZeroMaskingFromConfig(Map<String,Object> layerConfig, KerasLayerConfiguration conf) Get zero masking flag
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 IUpdater	KerasOptimizerUtils.mapOptimizer(Map<String,Object> optimizerConfig) Map Keras optimizer to DL4J IUpdater.
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.
static Map<String,Object>	KerasModelUtils.parseModelConfig(String modelJson, String modelYaml) Parse Keras model configuration from JSON or YAML string representation