KerasLayer (deeplearning4j-modelimport 0.9.0 API)

java.lang.Object
- org.deeplearning4j.nn.modelimport.keras.KerasLayer

Direct Known Subclasses:

KerasActivation, KerasBatchNormalization, KerasConvolution, KerasDense, KerasDropout, KerasEmbedding, KerasFlatten, KerasGlobalPooling, KerasInput, KerasLoss, KerasLRN, KerasLstm, KerasMerge, KerasPoolHelper, KerasPooling, KerasZeroPadding
```
public class KerasLayer
extends Object
```
Build Layer from Keras layer configuration.

Author:

[email protected]

Nested Class Summary

Nested Classes
Modifier and Type Class and Description

static class KerasLayer.DimOrder

Nested Classes
Modifier and Type	Class and Description
`static class`	`KerasLayer.DimOrder`

Field Summary

Fields
Modifier and Type	Field and Description
`protected String`	`className`
`static Map<String,Class<? extends KerasLayer>>`	`customLayers`
`static String`	`DIM_ORDERING_TENSORFLOW`
`static String`	`DIM_ORDERING_THEANO`
`protected KerasLayer.DimOrder`	`dimOrder`
`protected double`	`dropout`
`protected List<String>`	`inboundLayerNames`
`static String`	`INIT_GLOROT_NORMAL`
`static String`	`INIT_GLOROT_UNIFORM`
`static String`	`INIT_HE_NORMAL`
`static String`	`INIT_HE_UNIFORM`
`static String`	`INIT_IDENTITY`
`static String`	`INIT_LECUN_UNIFORM`
`static String`	`INIT_NORMAL`
`static String`	`INIT_ORTHOGONAL`
`static String`	`INIT_UNIFORM`
`static String`	`INIT_ZERO`
`protected int[]`	`inputShape`
`static String`	`KERAS_ACTIVATION_HARD_SIGMOID`
`static String`	`KERAS_ACTIVATION_LINEAR`
`static String`	`KERAS_ACTIVATION_RELU`
`static String`	`KERAS_ACTIVATION_SIGMOID`
`static String`	`KERAS_ACTIVATION_SOFTMAX`
`static String`	`KERAS_ACTIVATION_SOFTPLUS`
`static String`	`KERAS_ACTIVATION_SOFTSIGN`
`static String`	`KERAS_ACTIVATION_TANH`
`static String`	`KERAS_LOSS_BINARY_CROSSENTROPY`
`static String`	`KERAS_LOSS_CATEGORICAL_CROSSENTROPY`
`static String`	`KERAS_LOSS_COSINE_PROXIMITY`
`static String`	`KERAS_LOSS_HINGE`
`static String`	`KERAS_LOSS_KLD`
`static String`	`KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE`
`static String`	`KERAS_LOSS_MAE`
`static String`	`KERAS_LOSS_MAPE`
`static String`	`KERAS_LOSS_MEAN_ABSOLUTE_ERROR`
`static String`	`KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR`
`static String`	`KERAS_LOSS_MEAN_SQUARED_ERROR`
`static String`	`KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR`
`static String`	`KERAS_LOSS_MSE`
`static String`	`KERAS_LOSS_MSLE`
`static String`	`KERAS_LOSS_POISSON`
`static String`	`KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY`
`static String`	`KERAS_LOSS_SQUARED_HINGE`
`protected Layer`	`layer`
`static String`	`LAYER_BORDER_MODE_FULL`
`static String`	`LAYER_BORDER_MODE_SAME`
`static String`	`LAYER_BORDER_MODE_VALID`
`static String`	`LAYER_CLASS_NAME_ACTIVATION`
`static String`	`LAYER_CLASS_NAME_AVERAGE_POOLING_1D`
`static String`	`LAYER_CLASS_NAME_AVERAGE_POOLING_2D`
`static String`	`LAYER_CLASS_NAME_BATCHNORMALIZATION`
`static String`	`LAYER_CLASS_NAME_CONVOLUTION_1D`
`static String`	`LAYER_CLASS_NAME_CONVOLUTION_2D`
`static String`	`LAYER_CLASS_NAME_DENSE`
`static String`	`LAYER_CLASS_NAME_DROPOUT`
`static String`	`LAYER_CLASS_NAME_EMBEDDING`
`static String`	`LAYER_CLASS_NAME_FLATTEN`
`static String`	`LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D`
`static String`	`LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D`
`static String`	`LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D`
`static String`	`LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D`
`static String`	`LAYER_CLASS_NAME_INPUT`
`static String`	`LAYER_CLASS_NAME_LSTM`
`static String`	`LAYER_CLASS_NAME_MAX_POOLING_1D`
`static String`	`LAYER_CLASS_NAME_MAX_POOLING_2D`
`static String`	`LAYER_CLASS_NAME_MERGE`
`static String`	`LAYER_CLASS_NAME_TIME_DISTRIBUTED`
`static String`	`LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE`
`static String`	`LAYER_CLASS_NAME_ZERO_PADDING_1D`
`static String`	`LAYER_CLASS_NAME_ZERO_PADDING_2D`
`static String`	`LAYER_FIELD_ACTIVATION`
`static String`	`LAYER_FIELD_B_REGULARIZER`
`static String`	`LAYER_FIELD_BATCH_INPUT_SHAPE`
`static String`	`LAYER_FIELD_BORDER_MODE`
`static String`	`LAYER_FIELD_CLASS_NAME`
`static String`	`LAYER_FIELD_CONFIG`
`static String`	`LAYER_FIELD_DIM_ORDERING`
`static String`	`LAYER_FIELD_DROPOUT`
`static String`	`LAYER_FIELD_DROPOUT_W`
`static String`	`LAYER_FIELD_INBOUND_NODES`
`static String`	`LAYER_FIELD_INIT`
`static String`	`LAYER_FIELD_LAYER`
`static String`	`LAYER_FIELD_NAME`
`static String`	`LAYER_FIELD_NB_COL`
`static String`	`LAYER_FIELD_NB_FILTER`
`static String`	`LAYER_FIELD_NB_ROW`
`static String`	`LAYER_FIELD_OUTPUT_DIM`
`static String`	`LAYER_FIELD_POOL_SIZE`
`static String`	`LAYER_FIELD_STRIDES`
`static String`	`LAYER_FIELD_SUBSAMPLE`
`static String`	`LAYER_FIELD_W_REGULARIZER`
`protected String`	`layerName`
`static String`	`REGULARIZATION_TYPE_L1`
`static String`	`REGULARIZATION_TYPE_L2`
`protected GraphVertex`	`vertex`
`protected double`	`weightL1Regularization`
`protected double`	`weightL2Regularization`
`protected Map<String,org.nd4j.linalg.api.ndarray.INDArray>`	`weights`

Constructor Summary

Constructors
Modifier	Constructor and Description
`protected`	`KerasLayer()`
`protected`	`KerasLayer(Map<String,Object> layerConfig)` Constructor.
`protected`	`KerasLayer(Map<String,Object> layerConfig, boolean enforceTrainingConfig)` Constructor.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`checkForUnsupportedConfigurations(Map<String,Object> layerConfig, boolean enforceTrainingConfig)` Checks whether layer config contains unsupported options.
`void`	`copyWeightsToLayer(Layer layer)` Copy Keras layer weights to DL4J Layer.
`protected org.nd4j.linalg.activations.IActivation`	`getActivationFromConfig(Map<String,Object> layerConfig)` Get activation function from Keras layer configuration.
`static double`	`getBiasL1RegularizationFromConfig(Map<String,Object> layerConfig, boolean willBeTrained)` Get L1 bias regularization (if any) from Keras bias regularization configuration.
`String`	`getClassName()` Get Keras layer class name.
`static String`	`getClassNameFromConfig(Map<String,Object> layerConfig)` Get Keras layer class name from Keras layer configuration.
`static ConvolutionMode`	`getConvolutionModeFromConfig(Map<String,Object> layerConfig)` Get convolution border mode from Keras layer configuration.
`KerasLayer.DimOrder`	`getDimOrder()` Get Keras layer backend dimension order.
`protected double`	`getDropoutFromConfig(Map<String,Object> layerConfig)` Get dropout from Keras layer configuration.
`List<String>`	`getInboundLayerNames()` Get list of inbound layers.
`static List<String>`	`getInboundLayerNamesFromConfig(Map<String,Object> layerConfig)` Get list of inbound layers from Keras layer configuration.
`static Map<String,Object>`	`getInnerLayerConfigFromConfig(Map<String,Object> layerConfig)` Get inner layer config from Keras layer configuration.
`InputPreProcessor`	`getInputPreprocessor(InputType... inputType)` Gets appropriate DL4J InputPreProcessor for given InputTypes.
`int[]`	`getInputShape()` Get layer input shape.
`static KerasLayer`	`getKerasLayerFromConfig(Map<String,Object> layerConfig)` Build KerasLayer from a Keras layer configuration.
`static KerasLayer`	`getKerasLayerFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig)` Build KerasLayer from a Keras layer configuration.
`static int[]`	`getKernelSizeFromConfig(Map<String,Object> layerConfig)` Get (convolution) kernel size from Keras layer configuration.
`Layer`	`getLayer()` Gets corresponding DL4J Layer, if any.
`String`	`getLayerName()` Get Keras layer name.
`protected String`	`getLayerNameFromConfig(Map<String,Object> layerConfig)` Get layer name from Keras layer configuration.
`static int`	`getNOutFromConfig(Map<String,Object> layerConfig)` Get number of outputs from Keras layer configuration.
`int`	`getNumParams()` Returns number of trainable parameters in layer.
`InputType`	`getOutputType(InputType... inputType)` Get layer output type.
`int[]`	`getPaddingFromBorderModeConfig(Map<String,Object> layerConfig)` Get (convolution) padding from Keras layer configuration.
`static int[]`	`getStrideFromConfig(Map<String,Object> layerConfig)` Get (convolution) stride from Keras layer configuration.
`static Map<String,Object>`	`getTimeDistributedLayerConfig(Map<String,Object> layerConfig)` Extract inner layer config from TimeDistributed configuration and merge it into the outer config.
`GraphVertex`	`getVertex()` Gets corresponding DL4J Vertex, if any.
`protected WeightInit`	`getWeightInitFromConfig(Map<String,Object> layerConfig, boolean enforceTrainingConfig)` Get weight initialization from Keras layer configuration.
`static double`	`getWeightL1RegularizationFromConfig(Map<String,Object> layerConfig, boolean willBeTrained)` Get L1 weight regularization (if any) from Keras weight regularization configuration.
`static double`	`getWeightL2RegularizationFromConfig(Map<String,Object> layerConfig, boolean willBeTrained)` Get L2 weight regularization (if any) from Keras weight regularization configuration.
`boolean`	`isInputPreProcessor()` Whether this Keras layer maps to a DL4J InputPreProcessor.
`boolean`	`isLayer()` Whether this Keras layer maps to a DL4J Layer.
`boolean`	`isValidInboundLayer()` Indicates whether this layer a valid inbound layer.
`boolean`	`isVertex()` Whether this Keras layer maps to a DL4J Vertex.
`static org.nd4j.linalg.activations.IActivation`	`mapActivation(String kerasActivation)` Map Keras to DL4J activation functions.
`static org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction`	`mapLossFunction(String kerasLoss)` Map Keras to DL4J loss functions.
`static int[]`	`mapPoolingDimensions(String className)` Map Keras pooling layers to DL4J pooling dimensions.
`static PoolingType`	`mapPoolingType(String className)` Map Keras pooling layers to DL4J pooling types.
`static WeightInit`	`mapWeightInitialization(String kerasInit)` Map Keras to DL4J weight initialization functions.
`static void`	`registerCustomLayer(String layerName, Class<? extends KerasLayer> configClass)`
`void`	`setDimOrder(KerasLayer.DimOrder dimOrder)` Set Keras layer backend dimension order.
`void`	`setInboundLayerNames(List<String> inboundLayerNames)` Set list of inbound layers.
`void`	`setWeights(Map<String,org.nd4j.linalg.api.ndarray.INDArray> weights)` Set weights for Keras layer.
`boolean`	`usesRegularization()` Indicates whether layer uses regularization.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - LAYER_FIELD_CLASS_NAME
```
public static final String LAYER_FIELD_CLASS_NAME
```
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    Constant Field Values
  - LAYER_CLASS_NAME_ACTIVATION
```
public static final String LAYER_CLASS_NAME_ACTIVATION
```
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    Constant Field Values
  - LAYER_CLASS_NAME_INPUT
```
public static final String LAYER_CLASS_NAME_INPUT
```
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    Constant Field Values
  - LAYER_CLASS_NAME_DROPOUT
```
public static final String LAYER_CLASS_NAME_DROPOUT
```
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    Constant Field Values
  - LAYER_CLASS_NAME_DENSE
```
public static final String LAYER_CLASS_NAME_DENSE
```
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    Constant Field Values
  - LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE
```
public static final String LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE
```
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    Constant Field Values
  - LAYER_CLASS_NAME_LSTM
```
public static final String LAYER_CLASS_NAME_LSTM
```
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    Constant Field Values
  - LAYER_CLASS_NAME_CONVOLUTION_1D
```
public static final String LAYER_CLASS_NAME_CONVOLUTION_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_CONVOLUTION_2D
```
public static final String LAYER_CLASS_NAME_CONVOLUTION_2D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_MAX_POOLING_1D
```
public static final String LAYER_CLASS_NAME_MAX_POOLING_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_MAX_POOLING_2D
```
public static final String LAYER_CLASS_NAME_MAX_POOLING_2D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_AVERAGE_POOLING_1D
```
public static final String LAYER_CLASS_NAME_AVERAGE_POOLING_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_AVERAGE_POOLING_2D
```
public static final String LAYER_CLASS_NAME_AVERAGE_POOLING_2D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_ZERO_PADDING_1D
```
public static final String LAYER_CLASS_NAME_ZERO_PADDING_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_ZERO_PADDING_2D
```
public static final String LAYER_CLASS_NAME_ZERO_PADDING_2D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_FLATTEN
```
public static final String LAYER_CLASS_NAME_FLATTEN
```
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    Constant Field Values
  - LAYER_CLASS_NAME_MERGE
```
public static final String LAYER_CLASS_NAME_MERGE
```
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    Constant Field Values
  - LAYER_CLASS_NAME_BATCHNORMALIZATION
```
public static final String LAYER_CLASS_NAME_BATCHNORMALIZATION
```
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    Constant Field Values
  - LAYER_CLASS_NAME_TIME_DISTRIBUTED
```
public static final String LAYER_CLASS_NAME_TIME_DISTRIBUTED
```
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    Constant Field Values
  - LAYER_CLASS_NAME_EMBEDDING
```
public static final String LAYER_CLASS_NAME_EMBEDDING
```
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    Constant Field Values
  - LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D
```
public static final String LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D
```
public static final String LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D
```
public static final String LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D
```
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    Constant Field Values
  - LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D
```
public static final String LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D
```
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    Constant Field Values
  - LAYER_FIELD_CONFIG
```
public static final String LAYER_FIELD_CONFIG
```
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    Constant Field Values
  - LAYER_FIELD_NAME
```
public static final String LAYER_FIELD_NAME
```
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    Constant Field Values
  - LAYER_FIELD_BATCH_INPUT_SHAPE
```
public static final String LAYER_FIELD_BATCH_INPUT_SHAPE
```
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    Constant Field Values
  - LAYER_FIELD_INBOUND_NODES
```
public static final String LAYER_FIELD_INBOUND_NODES
```
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    Constant Field Values
  - LAYER_FIELD_DROPOUT
```
public static final String LAYER_FIELD_DROPOUT
```
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    Constant Field Values
  - LAYER_FIELD_DROPOUT_W
```
public static final String LAYER_FIELD_DROPOUT_W
```
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    Constant Field Values
  - LAYER_FIELD_OUTPUT_DIM
```
public static final String LAYER_FIELD_OUTPUT_DIM
```
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    Constant Field Values
  - LAYER_FIELD_NB_FILTER
```
public static final String LAYER_FIELD_NB_FILTER
```
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    Constant Field Values
  - LAYER_FIELD_NB_ROW
```
public static final String LAYER_FIELD_NB_ROW
```
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    Constant Field Values
  - LAYER_FIELD_NB_COL
```
public static final String LAYER_FIELD_NB_COL
```
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    Constant Field Values
  - LAYER_FIELD_POOL_SIZE
```
public static final String LAYER_FIELD_POOL_SIZE
```
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    Constant Field Values
  - LAYER_FIELD_SUBSAMPLE
```
public static final String LAYER_FIELD_SUBSAMPLE
```
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    Constant Field Values
  - LAYER_FIELD_STRIDES
```
public static final String LAYER_FIELD_STRIDES
```
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    Constant Field Values
  - LAYER_FIELD_BORDER_MODE
```
public static final String LAYER_FIELD_BORDER_MODE
```
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    Constant Field Values
  - LAYER_BORDER_MODE_SAME
```
public static final String LAYER_BORDER_MODE_SAME
```
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    Constant Field Values
  - LAYER_BORDER_MODE_VALID
```
public static final String LAYER_BORDER_MODE_VALID
```
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    Constant Field Values
  - LAYER_BORDER_MODE_FULL
```
public static final String LAYER_BORDER_MODE_FULL
```
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    Constant Field Values
  - LAYER_FIELD_W_REGULARIZER
```
public static final String LAYER_FIELD_W_REGULARIZER
```
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    Constant Field Values
  - LAYER_FIELD_B_REGULARIZER
```
public static final String LAYER_FIELD_B_REGULARIZER
```
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    Constant Field Values
  - REGULARIZATION_TYPE_L1
```
public static final String REGULARIZATION_TYPE_L1
```
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    Constant Field Values
  - REGULARIZATION_TYPE_L2
```
public static final String REGULARIZATION_TYPE_L2
```
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    Constant Field Values
  - LAYER_FIELD_INIT
```
public static final String LAYER_FIELD_INIT
```
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    Constant Field Values
  - INIT_UNIFORM
```
public static final String INIT_UNIFORM
```
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    Constant Field Values
  - INIT_ZERO
```
public static final String INIT_ZERO
```
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    Constant Field Values
  - INIT_GLOROT_NORMAL
```
public static final String INIT_GLOROT_NORMAL
```
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    Constant Field Values
  - INIT_GLOROT_UNIFORM
```
public static final String INIT_GLOROT_UNIFORM
```
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    Constant Field Values
  - INIT_HE_NORMAL
```
public static final String INIT_HE_NORMAL
```
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    Constant Field Values
  - INIT_HE_UNIFORM
```
public static final String INIT_HE_UNIFORM
```
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    Constant Field Values
  - INIT_LECUN_UNIFORM
```
public static final String INIT_LECUN_UNIFORM
```
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    Constant Field Values
  - INIT_NORMAL
```
public static final String INIT_NORMAL
```
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    Constant Field Values
  - INIT_ORTHOGONAL
```
public static final String INIT_ORTHOGONAL
```
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    Constant Field Values
  - INIT_IDENTITY
```
public static final String INIT_IDENTITY
```
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    Constant Field Values
  - LAYER_FIELD_ACTIVATION
```
public static final String LAYER_FIELD_ACTIVATION
```
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    Constant Field Values
  - KERAS_ACTIVATION_SOFTMAX
```
public static final String KERAS_ACTIVATION_SOFTMAX
```
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    Constant Field Values
  - KERAS_ACTIVATION_SOFTPLUS
```
public static final String KERAS_ACTIVATION_SOFTPLUS
```
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    Constant Field Values
  - KERAS_ACTIVATION_SOFTSIGN
```
public static final String KERAS_ACTIVATION_SOFTSIGN
```
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    Constant Field Values
  - KERAS_ACTIVATION_RELU
```
public static final String KERAS_ACTIVATION_RELU
```
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    Constant Field Values
  - KERAS_ACTIVATION_TANH
```
public static final String KERAS_ACTIVATION_TANH
```
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    Constant Field Values
  - KERAS_ACTIVATION_SIGMOID
```
public static final String KERAS_ACTIVATION_SIGMOID
```
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    Constant Field Values
  - KERAS_ACTIVATION_HARD_SIGMOID
```
public static final String KERAS_ACTIVATION_HARD_SIGMOID
```
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    Constant Field Values
  - KERAS_ACTIVATION_LINEAR
```
public static final String KERAS_ACTIVATION_LINEAR
```
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    Constant Field Values
  - LAYER_FIELD_DIM_ORDERING
```
public static final String LAYER_FIELD_DIM_ORDERING
```
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    Constant Field Values
  - DIM_ORDERING_THEANO
```
public static final String DIM_ORDERING_THEANO
```
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    Constant Field Values
  - DIM_ORDERING_TENSORFLOW
```
public static final String DIM_ORDERING_TENSORFLOW
```
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    Constant Field Values
  - KERAS_LOSS_MEAN_SQUARED_ERROR
```
public static final String KERAS_LOSS_MEAN_SQUARED_ERROR
```
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    Constant Field Values
  - KERAS_LOSS_MSE
```
public static final String KERAS_LOSS_MSE
```
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    Constant Field Values
  - KERAS_LOSS_MEAN_ABSOLUTE_ERROR
```
public static final String KERAS_LOSS_MEAN_ABSOLUTE_ERROR
```
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    Constant Field Values
  - KERAS_LOSS_MAE
```
public static final String KERAS_LOSS_MAE
```
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    Constant Field Values
  - KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR
```
public static final String KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR
```
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    Constant Field Values
  - KERAS_LOSS_MAPE
```
public static final String KERAS_LOSS_MAPE
```
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    Constant Field Values
  - KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR
```
public static final String KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR
```
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    Constant Field Values
  - KERAS_LOSS_MSLE
```
public static final String KERAS_LOSS_MSLE
```
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    Constant Field Values
  - KERAS_LOSS_SQUARED_HINGE
```
public static final String KERAS_LOSS_SQUARED_HINGE
```
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    Constant Field Values
  - KERAS_LOSS_HINGE
```
public static final String KERAS_LOSS_HINGE
```
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    Constant Field Values
  - KERAS_LOSS_BINARY_CROSSENTROPY
```
public static final String KERAS_LOSS_BINARY_CROSSENTROPY
```
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    Constant Field Values
  - KERAS_LOSS_CATEGORICAL_CROSSENTROPY
```
public static final String KERAS_LOSS_CATEGORICAL_CROSSENTROPY
```
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    Constant Field Values
  - KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY
```
public static final String KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY
```
    See Also:
    
    Constant Field Values
  - KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE
```
public static final String KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE
```
    See Also:
    
    Constant Field Values
  - KERAS_LOSS_KLD
```
public static final String KERAS_LOSS_KLD
```
    See Also:
    
    Constant Field Values
  - KERAS_LOSS_POISSON
```
public static final String KERAS_LOSS_POISSON
```
    See Also:
    
    Constant Field Values
  - KERAS_LOSS_COSINE_PROXIMITY
```
public static final String KERAS_LOSS_COSINE_PROXIMITY
```
    See Also:
    
    Constant Field Values
  - LAYER_FIELD_LAYER
```
public static final String LAYER_FIELD_LAYER
```
    See Also:
    
    Constant Field Values
  - customLayers
```
public static final Map<String,Class<? extends KerasLayer>> customLayers
```
  - className
```
protected String className
```
  - layerName
```
protected String layerName
```
  - inputShape
```
protected int[] inputShape
```
  - dimOrder
```
protected KerasLayer.DimOrder dimOrder
```
  - inboundLayerNames
```
protected List<String> inboundLayerNames
```
  - layer
```
protected Layer layer
```
  - vertex
```
protected GraphVertex vertex
```
  - weights
```
protected Map<String,org.nd4j.linalg.api.ndarray.INDArray> weights
```
  - weightL1Regularization
```
protected double weightL1Regularization
```
  - weightL2Regularization
```
protected double weightL2Regularization
```
  - dropout
```
protected double dropout
```
- Constructor Detail
  - KerasLayer
```
protected KerasLayer()
```
  - KerasLayer
```
protected KerasLayer(Map<String,Object> layerConfig)
              throws InvalidKerasConfigurationException,
                     UnsupportedKerasConfigurationException
```
    Constructor.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
  - KerasLayer
```
protected KerasLayer(Map<String,Object> layerConfig,
                     boolean enforceTrainingConfig)
              throws InvalidKerasConfigurationException,
                     UnsupportedKerasConfigurationException
```
    Constructor. "enforceTrainingConfig" parameter controls whether layer is built for training. This controls behavior of certain exceptions. In training mode, passing an unsupported regularizer will generate an error. In non-training mode, it generates only a warning.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    enforceTrainingConfig - whether layer should be built for training (controls certain exceptions)
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
- Method Detail
  - getKerasLayerFromConfig
```
public static KerasLayer getKerasLayerFromConfig(Map<String,Object> layerConfig)
                                          throws InvalidKerasConfigurationException,
                                                 UnsupportedKerasConfigurationException
```
    Build KerasLayer from a Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration map containing Keras layer properties
    
    Returns:
    
    KerasLayer
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
    
    See Also:
    
    Layer
  - getKerasLayerFromConfig
```
public static KerasLayer getKerasLayerFromConfig(Map<String,Object> layerConfig,
                                                 boolean enforceTrainingConfig)
                                          throws InvalidKerasConfigurationException,
                                                 UnsupportedKerasConfigurationException
```
    Build KerasLayer from a Keras layer configuration. Building layer with enforceTrainingConfig=true will throw exceptions for unsupported Keras options related to training (e.g., unknown regularizers). Otherwise we only generate warnings.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration map containing Keras layer properties
    
    enforceTrainingConfig - whether to enforce training-only configurations
    
    Returns:
    
    KerasLayer
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
    
    See Also:
    
    Layer
  - registerCustomLayer
```
public static void registerCustomLayer(String layerName,
                                       Class<? extends KerasLayer> configClass)
```
  - checkForUnsupportedConfigurations
```
public static void checkForUnsupportedConfigurations(Map<String,Object> layerConfig,
                                                     boolean enforceTrainingConfig)
                                              throws UnsupportedKerasConfigurationException,
                                                     InvalidKerasConfigurationException
```
    Checks whether layer config contains unsupported options.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    enforceTrainingConfig -
    
    Throws:
    
    UnsupportedKerasConfigurationException
    
    InvalidKerasConfigurationException
  - getClassName
```
public String getClassName()
```
    Get Keras layer class name.
    
    Returns:
    
    Keras layer class name
  - getLayerName
```
public String getLayerName()
```
    Get Keras layer name.
    
    Returns:
    
    layer name
  - getInputShape
```
public int[] getInputShape()
```
    Get layer input shape.
    
    Returns:
    
    input shape
  - getDimOrder
```
public KerasLayer.DimOrder getDimOrder()
```
    Get Keras layer backend dimension order.
    
    Returns:
    
    Keras layer (backend) dimension order
  - setDimOrder
```
public void setDimOrder(KerasLayer.DimOrder dimOrder)
```
    Set Keras layer backend dimension order.
  - getInboundLayerNames
```
public List<String> getInboundLayerNames()
```
    Get list of inbound layers.
    
    Returns:
    
    list of inbound layer names
  - setInboundLayerNames
```
public void setInboundLayerNames(List<String> inboundLayerNames)
```
    Set list of inbound layers.
    
    Parameters:
    
    inboundLayerNames - list of inbound layer naems
  - getNumParams
```
public int getNumParams()
```
    Returns number of trainable parameters in layer.
    
    Returns:
    
    number of trainable parameters
  - usesRegularization
```
public boolean usesRegularization()
```
    Indicates whether layer uses regularization.
    
    Returns:
    
    boolean
  - setWeights
```
public void setWeights(Map<String,org.nd4j.linalg.api.ndarray.INDArray> weights)
                throws InvalidKerasConfigurationException
```
    Set weights for Keras layer.
    
    Parameters:
    
    weights -
    
    Throws:
    
    InvalidKerasConfigurationException
  - copyWeightsToLayer
```
public void copyWeightsToLayer(Layer layer)
                        throws InvalidKerasConfigurationException
```
    Copy Keras layer weights to DL4J Layer.
    
    Parameters:
    
    layer -
    
    Throws:
    
    InvalidKerasConfigurationException
  - isLayer
```
public boolean isLayer()
```
    Whether this Keras layer maps to a DL4J Layer.
    
    Returns:
    
    true or false
  - getLayer
```
public Layer getLayer()
```
    Gets corresponding DL4J Layer, if any.
    
    Returns:
    
    DL4J Layer
    
    See Also:
    
    Layer
  - isVertex
```
public boolean isVertex()
```
    Whether this Keras layer maps to a DL4J Vertex.
    
    Returns:
    
    true or false
  - getVertex
```
public GraphVertex getVertex()
```
    Gets corresponding DL4J Vertex, if any.
    
    Returns:
    
    DL4J Vertex
    
    See Also:
    
    GraphVertex
  - isInputPreProcessor
```
public boolean isInputPreProcessor()
```
    Whether this Keras layer maps to a DL4J InputPreProcessor.
    
    Returns:
    
    true or false
  - getInputPreprocessor
```
public InputPreProcessor getInputPreprocessor(InputType... inputType)
                                       throws InvalidKerasConfigurationException
```
    Gets appropriate DL4J InputPreProcessor for given InputTypes.
    
    Parameters:
    
    inputType - Array of InputTypes
    
    Returns:
    
    DL4J InputPreProcessor
    
    Throws:
    
    InvalidKerasConfigurationException
    
    See Also:
    
    InputPreProcessor
  - getOutputType
```
public InputType getOutputType(InputType... inputType)
                        throws InvalidKerasConfigurationException,
                               UnsupportedKerasConfigurationException
```
    Get layer output type.
    
    Parameters:
    
    inputType - Array of InputTypes
    
    Returns:
    
    output type as InputType
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
  - isValidInboundLayer
```
public boolean isValidInboundLayer()
                            throws InvalidKerasConfigurationException
```
    Indicates whether this layer a valid inbound layer. Currently, only (known) DL4J Layers and inputs are valid inbound layers. "Preprocessor" layers (reshaping, merging, etc.) are replaced by their own inbound layers. TODO: revisit this once "preprocessor" layers are handled explicitly
    
    Returns:
    
    boolean indicating whether layer is valid inbound layer
    
    Throws:
    
    InvalidKerasConfigurationException
    
    See Also:
    
    Layer
  - mapActivation
```
public static org.nd4j.linalg.activations.IActivation mapActivation(String kerasActivation)
                                                             throws UnsupportedKerasConfigurationException
```
    Map Keras to DL4J activation functions.
    
    Parameters:
    
    kerasActivation - String containing Keras activation function name
    
    Returns:
    
    String containing DL4J activation function name
    
    Throws:
    
    UnsupportedKerasConfigurationException
  - mapWeightInitialization
```
public static WeightInit mapWeightInitialization(String kerasInit)
                                          throws UnsupportedKerasConfigurationException
```
    Map Keras to DL4J weight initialization functions.
    
    Parameters:
    
    kerasInit - String containing Keras initialization function name
    
    Returns:
    
    DL4J weight initialization enum
    
    Throws:
    
    UnsupportedKerasConfigurationException
    
    See Also:
    
    WeightInit
  - mapLossFunction
```
public static org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction mapLossFunction(String kerasLoss)
                                                                                throws UnsupportedKerasConfigurationException
```
    Map Keras to DL4J loss functions.
    
    Parameters:
    
    kerasLoss - String containing Keras loss function name
    
    Returns:
    
    String containing DL4J loss function
    
    Throws:
    
    UnsupportedKerasConfigurationException
  - mapPoolingType
```
public static PoolingType mapPoolingType(String className)
                                  throws UnsupportedKerasConfigurationException
```
    Map Keras pooling layers to DL4J pooling types.
    
    Parameters:
    
    className -
    
    Returns:
    
    Throws:
    
    UnsupportedKerasConfigurationException
  - mapPoolingDimensions
```
public static int[] mapPoolingDimensions(String className)
                                  throws UnsupportedKerasConfigurationException
```
    Map Keras pooling layers to DL4J pooling dimensions.
    
    Parameters:
    
    className -
    
    Returns:
    
    Throws:
    
    UnsupportedKerasConfigurationException
  - getClassNameFromConfig
```
public static String getClassNameFromConfig(Map<String,Object> layerConfig)
                                     throws InvalidKerasConfigurationException
```
    Get Keras layer class name from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getTimeDistributedLayerConfig
```
public static Map<String,Object> getTimeDistributedLayerConfig(Map<String,Object> layerConfig)
                                                        throws InvalidKerasConfigurationException
```
    Extract inner layer config from TimeDistributed configuration and merge it into the outer config.
    
    Parameters:
    
    layerConfig - dictionary containing Keras TimeDistributed configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getInnerLayerConfigFromConfig
```
public static Map<String,Object> getInnerLayerConfigFromConfig(Map<String,Object> layerConfig)
                                                        throws InvalidKerasConfigurationException
```
    Get inner layer config from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getLayerNameFromConfig
```
protected String getLayerNameFromConfig(Map<String,Object> layerConfig)
                                 throws InvalidKerasConfigurationException
```
    Get layer name from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getInboundLayerNamesFromConfig
```
public static List<String> getInboundLayerNamesFromConfig(Map<String,Object> layerConfig)
```
    Get list of inbound layers from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    List of inbound layer names
  - getNOutFromConfig
```
public static int getNOutFromConfig(Map<String,Object> layerConfig)
                             throws InvalidKerasConfigurationException
```
    Get number of outputs from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getDropoutFromConfig
```
protected double getDropoutFromConfig(Map<String,Object> layerConfig)
                               throws InvalidKerasConfigurationException
```
    Get dropout from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getActivationFromConfig
```
protected org.nd4j.linalg.activations.IActivation getActivationFromConfig(Map<String,Object> layerConfig)
                                                                   throws InvalidKerasConfigurationException,
                                                                          UnsupportedKerasConfigurationException
```
    Get activation function from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
  - getWeightInitFromConfig
```
protected WeightInit getWeightInitFromConfig(Map<String,Object> layerConfig,
                                             boolean enforceTrainingConfig)
                                      throws InvalidKerasConfigurationException,
                                             UnsupportedKerasConfigurationException
```
    Get weight initialization from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    enforceTrainingConfig -
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
  - getWeightL1RegularizationFromConfig
```
public static double getWeightL1RegularizationFromConfig(Map<String,Object> layerConfig,
                                                         boolean willBeTrained)
                                                  throws UnsupportedKerasConfigurationException,
                                                         InvalidKerasConfigurationException
```
    Get L1 weight regularization (if any) from Keras weight regularization configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration Map containing Keras weight reguarlization configuration
    
    Returns:
    
    L1 regularization strength (0.0 if none)
    
    Throws:
    
    UnsupportedKerasConfigurationException
    
    InvalidKerasConfigurationException
  - getWeightL2RegularizationFromConfig
```
public static double getWeightL2RegularizationFromConfig(Map<String,Object> layerConfig,
                                                         boolean willBeTrained)
                                                  throws UnsupportedKerasConfigurationException,
                                                         InvalidKerasConfigurationException
```
    Get L2 weight regularization (if any) from Keras weight regularization configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration Map containing Keras weight reguarlization configuration
    
    Returns:
    
    L1 regularization strength (0.0 if none)
    
    Throws:
    
    UnsupportedKerasConfigurationException
    
    InvalidKerasConfigurationException
  - getBiasL1RegularizationFromConfig
```
public static double getBiasL1RegularizationFromConfig(Map<String,Object> layerConfig,
                                                       boolean willBeTrained)
                                                throws UnsupportedKerasConfigurationException,
                                                       InvalidKerasConfigurationException
```
    Get L1 bias regularization (if any) from Keras bias regularization configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration Map containing Keras bias reguarlization configuration
    
    Returns:
    
    L1 regularization strength (0.0 if none)
    
    Throws:
    
    UnsupportedKerasConfigurationException
    
    InvalidKerasConfigurationException
  - getStrideFromConfig
```
public static int[] getStrideFromConfig(Map<String,Object> layerConfig)
                                 throws InvalidKerasConfigurationException
```
    Get (convolution) stride from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getKernelSizeFromConfig
```
public static int[] getKernelSizeFromConfig(Map<String,Object> layerConfig)
                                     throws InvalidKerasConfigurationException
```
    Get (convolution) kernel size from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
  - getConvolutionModeFromConfig
```
public static ConvolutionMode getConvolutionModeFromConfig(Map<String,Object> layerConfig)
                                                    throws InvalidKerasConfigurationException,
                                                           UnsupportedKerasConfigurationException
```
    Get convolution border mode from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException
  - getPaddingFromBorderModeConfig
```
public int[] getPaddingFromBorderModeConfig(Map<String,Object> layerConfig)
                                     throws InvalidKerasConfigurationException,
                                            UnsupportedKerasConfigurationException
```
    Get (convolution) padding from Keras layer configuration.
    
    Parameters:
    
    layerConfig - dictionary containing Keras layer configuration
    
    Returns:
    
    Throws:
    
    InvalidKerasConfigurationException
    
    UnsupportedKerasConfigurationException

Class KerasLayer

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

LAYER_FIELD_CLASS_NAME

LAYER_CLASS_NAME_ACTIVATION

LAYER_CLASS_NAME_INPUT

LAYER_CLASS_NAME_DROPOUT

LAYER_CLASS_NAME_DENSE

LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE

LAYER_CLASS_NAME_LSTM

LAYER_CLASS_NAME_CONVOLUTION_1D

LAYER_CLASS_NAME_CONVOLUTION_2D

LAYER_CLASS_NAME_MAX_POOLING_1D

LAYER_CLASS_NAME_MAX_POOLING_2D

LAYER_CLASS_NAME_AVERAGE_POOLING_1D

LAYER_CLASS_NAME_AVERAGE_POOLING_2D

LAYER_CLASS_NAME_ZERO_PADDING_1D

LAYER_CLASS_NAME_ZERO_PADDING_2D

LAYER_CLASS_NAME_FLATTEN

LAYER_CLASS_NAME_MERGE

LAYER_CLASS_NAME_BATCHNORMALIZATION

LAYER_CLASS_NAME_TIME_DISTRIBUTED

LAYER_CLASS_NAME_EMBEDDING

LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D

LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D

LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D

LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D

LAYER_FIELD_CONFIG

LAYER_FIELD_NAME

LAYER_FIELD_BATCH_INPUT_SHAPE

LAYER_FIELD_INBOUND_NODES

LAYER_FIELD_DROPOUT

LAYER_FIELD_DROPOUT_W

LAYER_FIELD_OUTPUT_DIM

LAYER_FIELD_NB_FILTER

LAYER_FIELD_NB_ROW

LAYER_FIELD_NB_COL

LAYER_FIELD_POOL_SIZE

LAYER_FIELD_SUBSAMPLE

LAYER_FIELD_STRIDES

LAYER_FIELD_BORDER_MODE

LAYER_BORDER_MODE_SAME

LAYER_BORDER_MODE_VALID

LAYER_BORDER_MODE_FULL

LAYER_FIELD_W_REGULARIZER

LAYER_FIELD_B_REGULARIZER

REGULARIZATION_TYPE_L1

REGULARIZATION_TYPE_L2

LAYER_FIELD_INIT

INIT_UNIFORM

INIT_ZERO

INIT_GLOROT_NORMAL

INIT_GLOROT_UNIFORM

INIT_HE_NORMAL

INIT_HE_UNIFORM

INIT_LECUN_UNIFORM

INIT_NORMAL

INIT_ORTHOGONAL

INIT_IDENTITY

LAYER_FIELD_ACTIVATION

KERAS_ACTIVATION_SOFTMAX

KERAS_ACTIVATION_SOFTPLUS

KERAS_ACTIVATION_SOFTSIGN

KERAS_ACTIVATION_RELU

KERAS_ACTIVATION_TANH

KERAS_ACTIVATION_SIGMOID

KERAS_ACTIVATION_HARD_SIGMOID

KERAS_ACTIVATION_LINEAR

LAYER_FIELD_DIM_ORDERING

DIM_ORDERING_THEANO

DIM_ORDERING_TENSORFLOW

KERAS_LOSS_MEAN_SQUARED_ERROR

KERAS_LOSS_MSE

KERAS_LOSS_MEAN_ABSOLUTE_ERROR

KERAS_LOSS_MAE

KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR