weka.dl4j.layers

Class FeedForwardLayer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer>

java.lang.Object

weka.dl4j.layers.Layer<T>

weka.dl4j.layers.FeedForwardLayer<T>

Type Parameters:

T - Feed forward layer implementation

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<T>

Direct Known Subclasses:

BatchNormalization, CenterLossOutputLayer, ConvolutionLayer, DenseLayer, DepthwiseConvolution2DLayer, DropoutLayer, GravesLSTM, LossLayer, LSTM, OutputLayer, RnnOutputLayer, SeperableConvolution2DLayer

public abstract class FeedForwardLayer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer>
extends Layer<T>

Abstract feed forward layer.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
FeedForwardLayer()

Method Summary

Modifier and Type	Method and Description
Activation	getActivationFunction()
long	getNOut()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setActivationFunction(Activation activationFn)
void	setNOut(long nOut)
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class weka.dl4j.layers.Layer

create, getBackend, getLayerName, setBackend, setLayerName

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.dl4j.ApiWrapper

initializeBackend

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

FeedForwardLayer

public FeedForwardLayer()

Method Detail

getActivationFunction

@OptionMetadata(displayName="activation function",
                description="The activation function to use (default = Identity).",
                commandLineParamName="activation",
                commandLineParamSynopsis="-activation <specification>",
                displayOrder=1)
public Activation getActivationFunction()

setActivationFunction

public void setActivationFunction(Activation activationFn)

getNOut

@OptionMetadata(displayName="number of outputs",
                description="The number of outputs.",
                commandLineParamName="nOut",
                commandLineParamSynopsis="-nOut <int>",
                displayOrder=2)
public long getNOut()

setNOut

public void setNOut(long nOut)

listOptions

public java.util.Enumeration<weka.core.Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class Layer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer>

Returns:

an enumeration of all the available options.

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the Classifier.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class Layer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer>

Returns:

an array of strings suitable for passing to setOptions

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class Layer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer>

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported