GClasses::GContext Class Reference

Detailed Description

The base class for the buffers that a thread needs to use (train or predict with) a neural network component.

#include <GBlock.h>

Inheritance diagram for GClasses::GContext:

Public Member Functions
	GContext (GRand &rand)
virtual	~GContext ()
virtual void	resetState ()=0
	Resets the state of all recurrent blocks. (This is called whenever a recurrent neural network begins with a new sequence, either for training or testing.) More...

Public Attributes
GRand &	m_rand

Constructor & Destructor Documentation

GClasses::GContext::GContext ( GRand &  rand )

inline

virtual GClasses::GContext::~GContext ( )

inlinevirtual

Member Function Documentation

virtual void GClasses::GContext::resetState ( )

pure virtual

Resets the state of all recurrent blocks. (This is called whenever a recurrent neural network begins with a new sequence, either for training or testing.)

Implemented in GClasses::GContextGRU, GClasses::GContextLSTM, GClasses::GContextRecurrent, GClasses::GContextNeuralNet, and GClasses::GContextLayer.

Member Data Documentation

GRand& GClasses::GContext::m_rand