GClasses::GContextNeuralNet Class Reference

Detailed Description

Contains the buffers that a thread needs to train or use a GNeuralNet. Each thread should use a separate GContextNeuralNet object. Call GNeuralNet::newContext to obtain a new GContextNeuralNet object.

#include <GNeuralNet.h>

Inheritance diagram for GClasses::GContextNeuralNet:

Public Member Functions
	~GContextNeuralNet ()
GVec &	blameBuf ()
	Returns the blame buffer for the output layer. More...
GContextLayer &	layer (size_t i)
size_t	layerCount () const
GVec &	predBuf ()
	Returns the activation buffer for the output layer. More...
virtual void	resetState () override
	See the comment for GContext::resetState. More...
Public Member Functions inherited from GClasses::GContext
	GContext (GRand &rand)
virtual	~GContext ()

Protected Member Functions
	GContextNeuralNet (GRand &rand, const GNeuralNet &nn)

Protected Attributes
std::vector< GContextLayer * >	m_layers
const GNeuralNet &	m_nn
GContextLayer *	m_pOutputLayer

Friends
class	GNeuralNet

Additional Inherited Members
Public Attributes inherited from GClasses::GContext
GRand &	m_rand

Constructor & Destructor Documentation

GClasses::GContextNeuralNet::GContextNeuralNet ( GRand &  rand, const GNeuralNet &  nn  )

protected

GClasses::GContextNeuralNet::~GContextNeuralNet

(

)

Member Function Documentation

GVec& GClasses::GContextNeuralNet::blameBuf ( )

inline

Returns the blame buffer for the output layer.

GContextLayer& GClasses::GContextNeuralNet::layer ( size_t  i )

inline

size_t GClasses::GContextNeuralNet::layerCount ( ) const

inline

GVec& GClasses::GContextNeuralNet::predBuf ( )

inline

Returns the activation buffer for the output layer.

virtual void GClasses::GContextNeuralNet::resetState ( )

overridevirtual

See the comment for GContext::resetState.

Implements GClasses::GContext.

Friends And Related Function Documentation

friend class GNeuralNet

friend

Member Data Documentation

std::vector<GContextLayer*> GClasses::GContextNeuralNet::m_layers

protected

const GNeuralNet& GClasses::GContextNeuralNet::m_nn

protected

GContextLayer* GClasses::GContextNeuralNet::m_pOutputLayer

protected