mlpack
Static Public Member Functions | List of all members
TanhExpFunction Class Reference

The TanhExp function, defined by. More...

Static Public Member Functions

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...

 
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...

 

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*}

Definition at line 42 of file tanh_exponential_function.hpp.

Member Function Documentation

◆ Deriv() [1/2]

static double Deriv ( const double  y)
inlinestatic

Computes the first derivative of the TanhExp function.

Parameters
yInput activation.
Returns
f'(x)

Definition at line 74 of file tanh_exponential_function.hpp.

◆ Deriv() [2/2]

static void Deriv ( const InputVecType &  y,
OutputVecType &  x 
)
inlinestatic

Computes the first derivatives of the tanh function.

Parameters
yInput activations.
xThe resulting derivatives.

Definition at line 87 of file tanh_exponential_function.hpp.

◆ Fn() [1/2]

static double Fn ( const double  x)
inlinestatic

Computes the TanhExp function.

Parameters
xInput data.
Returns
f(x).

Definition at line 51 of file tanh_exponential_function.hpp.

◆ Fn() [2/2]

static void Fn ( const InputVecType &  x,
OutputVecType &  y 
)
inlinestatic

Computes the TanhExp function.

Parameters
xInput data.
yThe resulting output activation.

Definition at line 63 of file tanh_exponential_function.hpp.

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