NNFS::Tanh Class Reference

#include <Tanh.hpp>

Inheritance diagram for NNFS::Tanh:

Public Member Functions
	Tanh ()
void	forward (Eigen::MatrixXd &out, const Eigen::MatrixXd &x) override
	Forward pass of the layer.
void	backward (Eigen::MatrixXd &out, const Eigen::MatrixXd &dx) override
	Backward pass of the layer.
Public Member Functions inherited from NNFS::Activation
	Activation (ActivationType activation_type)
	Construct a new Activation object.
Public Member Functions inherited from NNFS::Layer
	Layer (LayerType type)
	Construct a new Layer object.
virtual	~Layer ()=default
	Basic destructor.
virtual void	forward (Eigen::MatrixXd &out, const Eigen::MatrixXd &x)=0
	Forward pass of the layer.
virtual void	backward (Eigen::MatrixXd &out, const Eigen::MatrixXd &dx)=0
	Backward pass of the layer.

Additional Inherited Members
Public Attributes inherited from NNFS::Activation
ActivationType	activation_type
Public Attributes inherited from NNFS::Layer
LayerType	type
Protected Attributes inherited from NNFS::Activation
Eigen::MatrixXd	_forward_input

Constructor & Destructor Documentation

Tanh()

NNFS::Tanh::Tanh ( )

inline

Member Function Documentation

backward()

void NNFS::Tanh::backward ( Eigen::MatrixXd &  out, const Eigen::MatrixXd &  dx  )

inlineoverridevirtual

Backward pass of the layer.

Parameters

[out]	out	Input gradient
[in]	dx	Output gradient

Implements NNFS::Layer.

forward()

void NNFS::Tanh::forward ( Eigen::MatrixXd &  out, const Eigen::MatrixXd &  x  )

inlineoverridevirtual

Forward pass of the layer.

Parameters

[out]	out	Output data
[in]	x	Input data

Implements NNFS::Layer.

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

• include/NNFS/Activation/Tanh.hpp