Tanh

java.lang.Object

com.jml.neural_network.activations.Tanh

All Implemented Interfaces:: ActivationFunction

public class Tanh extends Object implements ActivationFunction

The hyperbolic tangent activation function. f(x) = tanh(x) = (e^x - e^-x) / (e^x + e^-x)

Field Summary

Fields

Modifier and Type

Field

Description

static String

NAME
Constructor Summary

Constructors

Constructor

Description

Tanh()
Method Summary

Modifier and Type

Method

Description

linalg.Matrix

back(linalg.Matrix data)

Applies the derivative of the activation function, element-wise, to a matrix.

linalg.Matrix

forward(linalg.Matrix data)

Applies the activation function, element-wise, to a matrix.

String

getName()

Gets the name of the activation function.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details
- NAME
  
  public static final String NAME
  
  See Also:
  
  Constant Field Values
Constructor Details
- Tanh
  
  public Tanh()
Method Details
- forward
  
  public linalg.Matrix forward(linalg.Matrix data)
  
  Applies the activation function, element-wise, to a matrix.
  
  Specified by:
  
  forward in interface ActivationFunction
  
  Parameters:
  
  data - The matrix to apply activation function to.
  
  Returns:
  
  The result of the element-wise activation function applied to the matrix.
- back
  
  public linalg.Matrix back(linalg.Matrix data)
  
  Applies the derivative of the activation function, element-wise, to a matrix.
  
  Specified by:
  
  back in interface ActivationFunction
  
  Parameters:
  
  data - The matrix to apply the derivative of the activation function to.
  
  Returns:
  
  The slope of the activation function, evaluated element-wise, of the matrix.
- getName
  
  public String getName()
  
  Gets the name of the activation function.
  
  Specified by:
  
  getName in interface ActivationFunction
  
  Returns:
  
  The name of the activation function as a String.