org.deeplearning4j.nn.conf.layers

Class ConvolutionLayer.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<ConvolutionLayer.Builder>

org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder

Enclosing class:

ConvolutionLayer

public static class ConvolutionLayer.Builder
extends ConvolutionLayer.BaseConvBuilder<ConvolutionLayer.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
ConvolutionLayer	build()
ConvolutionLayer.Builder	kernelSize(int... kernelSize) Size of the convolution rows/columns
ConvolutionLayer.Builder	padding(int... padding)
ConvolutionLayer.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(int[] kernelSize,
               int[] stride,
               int[] padding)

Builder

public Builder(int[] kernelSize,
               int[] stride)

Builder

public Builder(int... kernelSize)

Builder

public Builder()

Method Detail

kernelSize

public ConvolutionLayer.Builder kernelSize(int... kernelSize)

Size of the convolution rows/columns

Parameters:

kernelSize - the height and width of the kernel

Returns:

stride

public ConvolutionLayer.Builder stride(int... stride)

padding

public ConvolutionLayer.Builder padding(int... padding)

build

public ConvolutionLayer build()

Specified by:

build in class Layer.Builder<ConvolutionLayer.Builder>