Class LinearLayer

java.lang.Object

smile.deep.layer.ModuleLayer

smile.deep.layer.LinearLayer

All Implemented Interfaces:

Function<Tensor,Tensor>, Layer

public class LinearLayer
extends ModuleLayer

A fully connected linear layer.

Constructor Summary

Constructors

Constructor	Description
LinearLayer(int in, int out)	Constructor.
LinearLayer(int in, int out, boolean bias)	Constructor.

Method Summary

Modifier and Type	Method	Description
Tensor	forward(Tensor input)	Forward propagation (or forward pass) through the layer.

Methods inherited from class ModuleLayer

module, toString

Methods inherited from class Object

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

Methods inherited from interface Function

andThen, compose

Methods inherited from interface Layer

apply, name, to, to

Constructor Details

LinearLayer

public LinearLayer(int in,
 int out)

Constructor.

Parameters:

in - the number of input features.

out - the number of output features.

LinearLayer

public LinearLayer(int in,
 int out,
 boolean bias)

Constructor.

Parameters:

in - the number of input features.

out - the number of output features.

bias - If false, the layer will not learn an additive bias.

Method Details

forward

public Tensor forward(Tensor input)

Description copied from interface: Layer

Forward propagation (or forward pass) through the layer.

Parameters:

input - the input tensor.

Returns:

the output tensor.