Package smile.base.mlp

Class HiddenLayer

java.lang.Object

smile.base.mlp.Layer

smile.base.mlp.HiddenLayer

All Implemented Interfaces:

Serializable

public class HiddenLayer
extends Layer

A hidden layer in the neural network.

See Also:

• Serialized Form

Field Summary

Fields inherited from class smile.base.mlp.Layer

bias, biasGradient, biasGradientMoment1, biasGradientMoment2, biasUpdate, dropout, mask, n, output, outputGradient, p, weight, weightGradient, weightGradientMoment1, weightGradientMoment2, weightUpdate

Constructor Summary

Constructors

Constructor	Description
HiddenLayer(int n, int p, double dropout, ActivationFunction activation)	Constructor.

Method Summary

Modifier and Type	Method	Description
void	backpropagate(double[] lowerLayerGradient)	Propagates the errors back to a lower layer.
String	toString()
void	transform(double[] x)	The activation or output function.

Methods inherited from class smile.base.mlp.Layer

backpopagateDropout, builder, computeGradient, computeGradientUpdate, getInputSize, getOutputSize, gradient, input, input, leaky, leaky, leaky, linear, linear, mle, mse, of, output, propagate, propagateDropout, rectifier, rectifier, sigmoid, sigmoid, tanh, tanh, update

Methods inherited from class java.lang.Object

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

Constructor Details

HiddenLayer

public HiddenLayer(int n,
 int p,
 double dropout,
 ActivationFunction activation)

Constructor.

Parameters:

n - the number of neurons.

p - the number of input variables (not including bias value).

dropout - the dropout rate.

activation - the activation function.

Method Details

toString

public String toString()

Overrides:

toString in class Object

transform

public void transform(double[] x)

Description copied from class: Layer

The activation or output function.

Specified by:

transform in class Layer

Parameters:

x - the input and output values.

backpropagate

public void backpropagate(double[] lowerLayerGradient)

Description copied from class: Layer

Propagates the errors back to a lower layer.

Specified by:

backpropagate in class Layer

Parameters:

lowerLayerGradient - the gradient vector of lower layer.