org.deeplearning4j.nn.conf.layers

Class LocalResponseNormalization.Builder

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder

Enclosing class:

LocalResponseNormalization

public static class LocalResponseNormalization.Builder
extends Layer.Builder<LocalResponseNormalization.Builder>

Field Summary

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(double k, double alpha, double beta)

Method Summary

Modifier and Type	Method and Description
LocalResponseNormalization.Builder	alpha(double alpha) LRN scaling constant alpha.
LocalResponseNormalization.Builder	beta(double beta) Scaling constant beta.
LocalResponseNormalization	build()
LocalResponseNormalization.Builder	k(double k) LRN scaling constant k.
LocalResponseNormalization.Builder	n(double n) Number of adjacent kernel maps to use when doing LRN.

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(double k,
               double alpha,
               double beta)

Builder

public Builder()

Method Detail

k

public LocalResponseNormalization.Builder k(double k)

LRN scaling constant k. Default: 2

Parameters:

k -

n

public LocalResponseNormalization.Builder n(double n)

Number of adjacent kernel maps to use when doing LRN. default: 5

Parameters:

n - Number of adjacent kernel maps

alpha

public LocalResponseNormalization.Builder alpha(double alpha)

LRN scaling constant alpha. Default: 1e-4

Parameters:

alpha - Scaling constant

beta

public LocalResponseNormalization.Builder beta(double beta)

Scaling constant beta. Default: 0.75

Parameters:

beta - Scaling constant

build

public LocalResponseNormalization build()

Specified by:

build in class Layer.Builder<LocalResponseNormalization.Builder>