Package io.github.kirstenali.deepj.layers

Class BiasFreeLinear

java.lang.Object

io.github.kirstenali.deepj.layers.BiasFreeLinear

All Implemented Interfaces:

Layer, Projection, Trainable

public final class BiasFreeLinear
extends Object
implements Projection

Constructor Summary

Constructors

Constructor	Description
BiasFreeLinear(int inputs, int outputs, Random random)
BiasFreeLinear(int inputs, int outputs, Random random, ParameterFactory parameters)

Method Summary

Modifier and Type	Method	Description
Tensor	forward(Tensor value)
List<Parameter>	parameters()

Methods inherited from class java.lang.Object

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

Methods inherited from interface io.github.kirstenali.deepj.layers.Layer

forward, supportsIncrementalInference

Methods inherited from interface io.github.kirstenali.deepj.training.Trainable

zeroGrad

Constructor Details

BiasFreeLinear

public BiasFreeLinear(int inputs,
 int outputs,
 Random random)

BiasFreeLinear

public BiasFreeLinear(int inputs,
 int outputs,
 Random random,
 ParameterFactory parameters)

Method Details

forward

public Tensor forward(Tensor value)

Specified by:

forward in interface Layer

parameters

public List<Parameter> parameters()

Specified by:

parameters in interface Trainable