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

Class KerasUpsampling2D

java.lang.Object

org.deeplearning4j.nn.modelimport.keras.KerasLayer

org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D

public class KerasUpsampling2D
extends KerasLayer

Keras Upsampling2D layer support

Author:

Max Pumperla

Nested Class Summary

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

KerasLayer.DimOrder

Field Summary

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

className, conf, dimOrder, dropout, inboundLayerNames, inputShape, kerasMajorVersion, layer, layerName, originalLayerConfig, outboundLayerNames, vertex, weightL1Regularization, weightL2Regularization, weights

Constructor Summary

Constructors

Constructor and Description
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.

Method Summary

Modifier and Type	Method and Description
InputType	getOutputType(InputType... inputType) Get layer output type.
Upsampling2D	getUpsampling2DLayer() Get DL4J Upsampling2D layer.

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

clearCustomLayers, clearLambdaLayers, copyWeightsToLayer, getClassName, getDimOrder, getInboundLayerNames, getInputPreprocessor, getInputShape, getKerasMajorVersion, getLayer, getLayerName, getNInFromConfig, getNumParams, getVertex, getWeights, isInputPreProcessor, isLayer, isValidInboundLayer, isVertex, registerCustomLayer, registerLambdaLayer, setInboundLayerNames, setLayer, setWeights, usesRegularization

Methods inherited from class java.lang.Object

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

Constructor Detail

KerasUpsampling2D

public KerasUpsampling2D(Map<String,Object> layerConfig)
                  throws InvalidKerasConfigurationException,
                         UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration.

Throws:

InvalidKerasConfigurationException - Invalid Keras configuration exception

UnsupportedKerasConfigurationException - Unsupported Keras configuration exception

KerasUpsampling2D

public KerasUpsampling2D(Map<String,Object> layerConfig,
                         boolean enforceTrainingConfig)
                  throws InvalidKerasConfigurationException,
                         UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig - whether to enforce training-related configuration options

Throws:

InvalidKerasConfigurationException - Invalid Keras configuration exception

UnsupportedKerasConfigurationException - Invalid Keras configuration exception

Method Detail

getUpsampling2DLayer

public Upsampling2D getUpsampling2DLayer()

Get DL4J Upsampling2D layer.

Returns:

Upsampling2D layer

getOutputType

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

Get layer output type.

Overrides:

getOutputType in class KerasLayer

Parameters:

inputType - Array of InputTypes

Returns:

output type as InputType

Throws:

InvalidKerasConfigurationException - Invalid Keras config