dl::activation::Tanh Class Reference

Hyperbolic tangent (Tanh) activation function. More...

#include <functions.hpp>

Inheritance diagram for dl::activation::Tanh:

Collaboration diagram for dl::activation::Tanh:

Public Member Functions
double	forward (double x)
	Compute tanh forward pass.
double	backward (double x)
	Compute tanh derivative.
Public Member Functions inherited from dl::activation::ActivationFunction
virtual	~ActivationFunction ()=default
	Virtual destructor for proper cleanup.

Detailed Description

Hyperbolic tangent (Tanh) activation function.

Tanh maps input values to the range (-1, 1), making it zero-centered which can help with gradient flow during training.

Mathematical definition:

• Forward: f(x) = tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
• Derivative: f'(x) = 1 - tanh²(x)

Note

Zero-centered output can improve convergence

Definition at line 110 of file functions.hpp.

Member Function Documentation

backward()

double dl::activation::Tanh::backward

(

double

x

)

Compute tanh derivative.

Parameters

x	Input value

Returns

1 - tanh²(x)

Definition at line 40 of file functions.cpp.

forward()

double dl::activation::Tanh::forward

(

double

x

)

Compute tanh forward pass.

Parameters

x	Input value

Returns

tanh(x)

Definition at line 34 of file functions.cpp.

---

The documentation for this class was generated from the following files:

• include/activation/functions.hpp
• src/activation/functions.cpp