NeuralNet Class Reference

NeuralNet: main container class for network layers. More...

Inherits Trainable.

Public Member Functions
	NeuralNet (EasyCL *cl, int numPlanes, int imageSize)
	Constructor.
publicapi void	addLayer (LayerMaker2 *maker)
	Add a network layer, using a LayerMaker2 object. More...
publicapi void	initWeights (int layerIndex, float *weights, float *bias)
publicapi void	initWeights (int layerIndex, float *weights)
publicapi void	initBias (int layerIndex, float *weights)
publicapi float	calcLoss (float const *expectedValues)
	calculate the loss, based on the passed in expectedValues array More...
publicapi float	calcLossFromLabels (int const *labels)
publicapi InputLayer *	getFirstLayer ()
publicapi Layer *	getLastLayer ()
publicapi int	getNumLayers () const
publicapi Layer *	getLayer (int index)
publicapi Layer const *	getLastLayer () const
virtual publicapi int	getOutputPlanes () const
virtual publicapi int	getOutputSize () const
publicapi void	setBatchSize (int batchSize)
publicapi void	setTraining (bool training)
publicapi int	calcNumRight (int const *labels)
publicapi void	forward (float const *images)
publicapi void	backwardFromLabels (int const *labels)
	note: this does no learning, just calculates the gradients More...
publicapi void	backward (float const *expectedOutput)
	note: this does no learning, just calculates the gradients More...
publicapi int	getNumLayers ()
publicapi float const *	getOutput (int layer) const
publicapi int	getInputCubeSize () const
publicapi int	getOutputCubeSize () const
publicapi float const *	getOutput () const
virtual publicapi int	getOutputNumElements () const
publicapi std::string	asString ()
publicapi const char *	asNewCharStar ()

Detailed Description

NeuralNet: main container class for network layers.

Public API

Member Function Documentation

publicapi void NeuralNet::addLayer

(

LayerMaker2 *

maker

)

Add a network layer, using a LayerMaker2 object.

Public API

publicapi void NeuralNet::initWeights	(	int	layerIndex,
		float *	weights,
		float *	bias
	)

Public API

publicapi void NeuralNet::initWeights	(	int	layerIndex,
		float *	weights
	)

Public API

publicapi void NeuralNet::initBias	(	int	layerIndex,
		float *	weights
	)

Public API

publicapi float NeuralNet::calcLoss

(

float const *

expectedValues

)

calculate the loss, based on the passed in expectedValues array

Public API

Public API

Calculate the loss, based on the passed in expectedValues array which should be the same size as the output of the final layer of the network

Public API

publicapi float NeuralNet::calcLossFromLabels

(

int const *

labels

)

Public API

publicapi InputLayer * NeuralNet::getFirstLayer

(

)

Public API

publicapi Layer * NeuralNet::getLastLayer

(

)

Public API

publicapi int NeuralNet::getNumLayers

(

)

const

Public API

publicapi Layer * NeuralNet::getLayer

(

int

index

)

Public API

publicapi Layer const * NeuralNet::getLastLayer

(

)

const

Public API

publicapi VIRTUAL int NeuralNet::getOutputPlanes ( ) const

virtual

Public API

publicapi VIRTUAL int NeuralNet::getOutputSize ( ) const

virtual

Public API

publicapi void NeuralNet::setBatchSize

(

int

batchSize

)

Public API

publicapi void NeuralNet::setTraining

(

bool

training

)

Public API

publicapi int NeuralNet::calcNumRight

(

int const *

labels

)

Public API

publicapi void NeuralNet::forward

(

float const *

images

)

Public API

publicapi void NeuralNet::backwardFromLabels

(

int const *

labels

)

note: this does no learning, just calculates the gradients

Public API

publicapi void NeuralNet::backward

(

float const *

expectedOutput

)

note: this does no learning, just calculates the gradients

Public API

publicapi int NeuralNet::getNumLayers

(

)

Public API

publicapi float const * NeuralNet::getOutput

(

int

layer

)

const

Public API

publicapi int NeuralNet::getInputCubeSize

(

)

const

Public API

publicapi int NeuralNet::getOutputCubeSize

(

)

const

Public API

publicapi float const * NeuralNet::getOutput

(

)

const

Public API

publicapi VIRTUAL int NeuralNet::getOutputNumElements ( ) const

virtual

Public API

publicapi std::string NeuralNet::asString

(

)

Public API

publicapi const char * NeuralNet::asNewCharStar

(

)

Public API

---

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

• NeuralNet.h
• NeuralNet.cpp