mlpack::ann::TanhExpFunction Class Reference

The TanhExp function, defined by. More...

#include <tanh_exponential_function.hpp>

Static Public Member Functions
static double	Fn (const double x)
	Computes the TanhExp function. More...
template<typename InputVecType , typename OutputVecType >
static void	Fn (const InputVecType &x, OutputVecType &y)
	Computes the TanhExp function. More...
static double	Deriv (const double y)
	Computes the first derivative of the TanhExp function. More...
template<typename InputVecType , typename OutputVecType >
static void	Deriv (const InputVecType &y, OutputVecType &x)
	Computes the first derivatives of the tanh function. More...

Detailed Description

The TanhExp function, defined by.

\begin{eqnarray*} f(x) = x * tanh(e^x)\\ f'(x) = tanh(e^x) - x*e^x*(tanh(e^x)^2 - 1)\\ \end{eqnarray*}

Member Function Documentation

Deriv() [1/2]

static double mlpack::ann::TanhExpFunction::Deriv ( const double  y )

inlinestatic

Computes the first derivative of the TanhExp function.

Parameters

y	Input activation.

Returns

f'(x)

Deriv() [2/2]

template<typename InputVecType , typename OutputVecType >

static void mlpack::ann::TanhExpFunction::Deriv ( const InputVecType &  y, OutputVecType &  x  )

inlinestatic

Computes the first derivatives of the tanh function.

Parameters

y	Input activations.
x	The resulting derivatives.

Fn() [1/2]

static double mlpack::ann::TanhExpFunction::Fn ( const double  x )

inlinestatic

Computes the TanhExp function.

Parameters

x	Input data.

Returns

f(x).

Fn() [2/2]

template<typename InputVecType , typename OutputVecType >

static void mlpack::ann::TanhExpFunction::Fn ( const InputVecType &  x, OutputVecType &  y  )

inlinestatic

Computes the TanhExp function.

Parameters

x	Input data.
y	The resulting output activation.

---

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

• src/mlpack/methods/ann/activation_functions/tanh_exponential_function.hpp