Package org.deeplearning4j.nn.conf.layers

Class LocallyConnected1D.Builder

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer.Builder<T>

org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder<LocallyConnected1D.Builder>

org.deeplearning4j.nn.conf.layers.LocallyConnected1D.Builder

Enclosing class:

LocallyConnected1D

public static class LocallyConnected1D.Builder
extends SameDiffLayer.Builder<LocallyConnected1D.Builder>

Field Summary

Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder

paramWeightInit, weightInit

Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder

biasUpdater, regularization, regularizationBias, updater

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
LocallyConnected1D.Builder	activation(Activation activation)
LocallyConnected1D	build()
LocallyConnected1D.Builder	convolutionMode(ConvolutionMode cm)
LocallyConnected1D.Builder	dilation(int d)
LocallyConnected1D.Builder	hasBias(boolean hasBias)
LocallyConnected1D.Builder	kernelSize(int k)
LocallyConnected1D.Builder	nIn(int nIn)
LocallyConnected1D.Builder	nOut(int nOut)
LocallyConnected1D.Builder	padding(int p)
LocallyConnected1D.Builder	setInputSize(int inputSize)	Set input filter size for this locally connected 1D layer
LocallyConnected1D.Builder	stride(int s)

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder

weightInit, weightInit

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder

biasUpdater, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

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

Constructor Detail

Builder

public Builder()

Method Detail

nIn

public LocallyConnected1D.Builder nIn(int nIn)

Parameters:

nIn - Number of inputs to the layer (input size)

nOut

public LocallyConnected1D.Builder nOut(int nOut)

Parameters:

nOut - Number of outputs (output size)

activation

public LocallyConnected1D.Builder activation(Activation activation)

Parameters:

activation - Activation function for the layer

kernelSize

public LocallyConnected1D.Builder kernelSize(int k)

Parameters:

k - Kernel size for the layer

stride

public LocallyConnected1D.Builder stride(int s)

Parameters:

s - Stride for the layer

padding

public LocallyConnected1D.Builder padding(int p)

Parameters:

p - Padding for the layer. Not used if ConvolutionMode.Same is set

convolutionMode

public LocallyConnected1D.Builder convolutionMode(ConvolutionMode cm)

Parameters:

cm - Convolution mode for the layer. See ConvolutionMode for details

dilation

public LocallyConnected1D.Builder dilation(int d)

Parameters:

d - Dilation for the layer

hasBias

public LocallyConnected1D.Builder hasBias(boolean hasBias)

Parameters:

hasBias - If true (default is false) the layer will have a bias

setInputSize

public LocallyConnected1D.Builder setInputSize(int inputSize)

Set input filter size for this locally connected 1D layer

Parameters:

inputSize - height of the input filters

Returns:

Builder

build

public LocallyConnected1D build()

Specified by:

build in class Layer.Builder<LocallyConnected1D.Builder>