namespace mlp

// classes

template <
    typename t_FloatType,
    typename t_XDataType,
    unsigned int t_DdrWidth,
    unsigned int t_XDdrWidth,
    unsigned int t_aColMemWords = 1,
    unsigned int t_aRowMemWords = 1,
    unsigned int t_bColMemWords = 1,
    unsigned int t_maxWSize = 0,
    unsigned int t_maxBSize = 0
    >
class Fcn

relu

#include "mlp/activations.hpp"

template <typename t_DataType>
t_DataType relu (t_DataType x)

relu (rectified linear unit) is a very common activation function in deep neural network

Parameters:

x	is the input value

sigmoid

#include "mlp/activations.hpp"

template <typename t_DataType>
t_DataType sigmoid (t_DataType x)

sigmoid function is a very common activation function in MLP

Parameters:

x	is the input value

tansig

#include "mlp/activations.hpp"

template <typename t_DataType>
t_DataType tansig (t_DataType x)

tansig function is used as an activation function in some MLPs

Parameters:

x	is the input value