org.deeplearning4j.nn.activation

Class Tanh

java.lang.Object

org.deeplearning4j.nn.activation.Tanh

All Implemented Interfaces:

com.google.common.base.Function<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>, Serializable, ActivationFunction

public class Tanh
extends Object
implements ActivationFunction

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Tanh()

Method Summary

Methods

Modifier and Type	Method and Description
org.jblas.DoubleMatrix	apply(org.jblas.DoubleMatrix arg0)
org.jblas.DoubleMatrix	applyDerivative(org.jblas.DoubleMatrix input) Applies the derivative of this function

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.google.common.base.Function

equals

Constructor Detail

Tanh

public Tanh()

Method Detail

apply

public org.jblas.DoubleMatrix apply(org.jblas.DoubleMatrix arg0)

Specified by:

apply in interface com.google.common.base.Function<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>

applyDerivative

public org.jblas.DoubleMatrix applyDerivative(org.jblas.DoubleMatrix input)

Description copied from interface: ActivationFunction

Applies the derivative of this function

Specified by:

applyDerivative in interface ActivationFunction

Parameters:

input - the input to apply it to

Returns:

the derivative of this function applied to the input