org.deeplearning4j.nn.conf.layers

Class Layer.Builder<T extends Layer.Builder<T>>

java.lang.Object

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

Direct Known Subclasses:

ActivationLayer.Builder, BaseLayer.Builder, FrozenLayer.Builder, GlobalPoolingLayer.Builder, LocalResponseNormalization.Builder, SubsamplingLayer.BaseSubsamplingBuilder, ZeroPaddingLayer.Builder

Enclosing class:

Layer

public abstract static class Layer.Builder<T extends Layer.Builder<T>>
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
protected double	dropOut
protected String	layerName

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
abstract <E extends Layer> E	build()
T	dropOut(double dropOut) Dropout.
T	name(String layerName) Layer name assigns layer string name.

Methods inherited from class java.lang.Object

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

Field Detail

layerName

protected String layerName

dropOut

protected double dropOut

Constructor Detail

Builder

public Builder()

Method Detail

name

public T name(String layerName)

Layer name assigns layer string name. Allows easier differentiation between layers.

dropOut

public T dropOut(double dropOut)

Dropout. Value is probability of retaining an activation - thus 1.0 is equivalent to no dropout. Note that 0.0 (the default) disables dropout.

build

public abstract <E extends Layer> E build()