Layer Class Reference

A single layer within the neural net. More...

Inherited by ActivationLayer, ConvolutionalLayer, DropoutLayer, ForceBackpropLayer, FullyConnectedLayer, InputLayer, LossLayer, NormalizationLayer, PoolingLayer, RandomPatches, and RandomTranslations.

Public Member Functions
virtual publicapi float *	getOutput ()=0
virtual publicapi int	getPersistSize (int version) const =0
	Get the size of array needed for persisting to/from an array. More...
virtual publicapi int	getOutputNumElements () const =0
	Get the size of the activated output from this layer. More...
publicapi	Layer (Layer *previousLayer, LayerMaker2 *maker)
virtual publicapi void	setTraining (bool training)
	Are we training or predicting? Only affects the Random translations and patches layers currently. More...
virtual publicapi void	setBatchSize (int batchSize)
	used to set up internal buffers and stuff More...
virtual publicapi bool	getBiased () const
virtual publicapi bool	hasOutputWrapper () const
virtual publicapi CLWrapper *	getOutputWrapper ()
virtual publicapi int	getOutputCubeSize () const
virtual publicapi int	getOutputPlanes () const
virtual publicapi int	getOutputSize () const
virtual publicapi void	backward ()
virtual publicapi int	getWeightsSize () const
virtual publicapi int	getBiasSize () const
virtual publicapi int	getPersistSize () const
virtual publicapi void	persistToArray (float *array)
virtual publicapi void	persistToArray (int version, float *array)
	store the current weights and biases to array Note that you need to allocate array first More...
virtual publicapi void	unpersistFromArray (float const *array)
virtual publicapi void	unpersistFromArray (int version, float const *array)
	initialize the current weights and biases from array More...
virtual std::string	asString () const
	Get a string representation of the layer.

Detailed Description

A single layer within the neural net.

Public API

Constructor & Destructor Documentation

publicapi Layer::Layer	(	Layer *	previousLayer,
		LayerMaker2 *	maker
	)

Public API

Member Function Documentation

virtual publicapi float* Layer::getOutput ( )

pure virtual

Public API

virtual publicapi int Layer::getPersistSize ( int  version ) const

pure virtual

Get the size of array needed for persisting to/from an array.

Public API

virtual publicapi int Layer::getOutputNumElements ( ) const

pure virtual

Get the size of the activated output from this layer.

Public API

publicapi VIRTUAL void Layer::setTraining ( bool  training )

virtual

Are we training or predicting? Only affects the Random translations and patches layers currently.

Public API

publicapi VIRTUAL void Layer::setBatchSize ( int  batchSize )

virtual

used to set up internal buffers and stuff

Public API

publicapi VIRTUAL bool Layer::getBiased ( ) const

virtual

Public API

publicapi VIRTUAL bool Layer::hasOutputWrapper ( ) const

virtual

Public API

publicapi VIRTUAL CLWrapper * Layer::getOutputWrapper ( )

virtual

Public API

publicapi VIRTUAL int Layer::getOutputCubeSize ( ) const

virtual

Public API

publicapi VIRTUAL int Layer::getOutputPlanes ( ) const

virtual

Public API

publicapi VIRTUAL int Layer::getOutputSize ( ) const

virtual

Public API

publicapi VIRTUAL void Layer::backward ( )

virtual

Public API

publicapi VIRTUAL int Layer::getWeightsSize ( ) const

virtual

Public API

publicapi VIRTUAL int Layer::getBiasSize ( ) const

virtual

Public API

publicapi VIRTUAL int Layer::getPersistSize ( ) const

virtual

Public API

publicapi VIRTUAL void Layer::persistToArray ( float *  array )

virtual

Public API

publicapi VIRTUAL void Layer::persistToArray ( int  version, float *  array  )

virtual

store the current weights and biases to array Note that you need to allocate array first

Public API

publicapi VIRTUAL void Layer::unpersistFromArray ( float const *  array )

virtual

Public API

publicapi VIRTUAL void Layer::unpersistFromArray ( int  version, float const *  array  )

virtual

initialize the current weights and biases from array

Public API

---

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

• Layer.h
• Layer.cpp