org.deeplearning4j.nn.conf.layers

Class Convolution1DLayer.Builder

java.lang.Object

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

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

org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder<Convolution1DLayer.Builder>

org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder

Enclosing class:

Convolution1DLayer

public static class Convolution1DLayer.Builder
extends ConvolutionLayer.BaseConvBuilder<Convolution1DLayer.Builder>

Field Summary

Fields inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder

convolutionMode, cudnnAlgoMode, kernelSize, padding, stride

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

nIn, nOut

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

activationFn, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, layerName, learningRate, learningRatePolicy, learningRateSchedule, momentum, momentumAfter, rho, rmsDecay, updater, weightInit

Constructor Summary

Constructors

Constructor and Description
Builder()
Builder(int kernelSize)
Builder(int kernelSize, int stride)
Builder(int kernelSize, int stride, int padding)

Method Summary

Modifier and Type	Method and Description
Convolution1DLayer	build()
Convolution1DLayer.Builder	kernelSize(int kernelSize) Size of the convolution
Convolution1DLayer.Builder	padding(int padding)
Convolution1DLayer.Builder	stride(int stride)

Methods inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder

convolutionMode, cudnnAlgoMode

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

nIn, nOut

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

activation, activation, activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, learningRate, learningRateDecayPolicy, learningRateSchedule, momentum, momentumAfter, name, rho, rmsDecay, updater, weightInit

Methods inherited from class java.lang.Object

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

Constructor Detail

Builder

public Builder()

Builder

public Builder(int kernelSize,
               int stride)

Builder

public Builder(int kernelSize)

Builder

public Builder(int kernelSize,
               int stride,
               int padding)

Method Detail

kernelSize

public Convolution1DLayer.Builder kernelSize(int kernelSize)

Size of the convolution

Parameters:

kernelSize - the length of the kernel

stride

public Convolution1DLayer.Builder stride(int stride)

padding

public Convolution1DLayer.Builder padding(int padding)

build

public Convolution1DLayer build()

Specified by:

build in class Layer.Builder<Convolution1DLayer.Builder>