Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

CAveragedDataWriter	Buffers a specified number of batches, averages them and then writes the average into an HDF5 file
CAvgPooler
Cbbox
CConvEdge	Implements a convolutional edge
CConvNet	A Convolutional Net Model
CConvOneToOneEdge	An edge with one-to-one connectivity over spatial locations
Ccudamat
Ccudamat_bbox
Ccudamat_sparse
CDataHandler	Makes data accessible to the model
CDataIterator	Base class for implementing data iterators
CDataWriter	Writes data into an HDF5 file
CDownSampleEdge	Implements a down-sampling edge
CDummyDataIterator	A dummy iterator
CEdge	This class is intended to be used as a base class for implementing edges
CEdgeWithWeight	Base class for all edges which have weights
CFCEdge	Implements a fully-connected edge
CGradChecker
CHDF5DataIterator	An iterator over a dataset in an HDF5 file
CImageDataIterator	An iterator over images stored as individual files
CImageDisplayer
CLayer	The base class for all layers
CLBFGSOptimizer	Implmenets LBFGS optimization
CLinearLayer	Implements a layer with a linear activation function
CLocalEdge	Implements a locally connected edge
CLogisticLayer	Implements a layer with a logistic activation function
CMatrix	A GPU matrix class
CMaxPoolEdge	Implements a Max-pool edge
CMaxPooler
CMultiGPUConvNet
COptimizer	Base class for all optimizers
CProbMaxPooler
CRawImageFileIterator	An iterator over list of image files
CReLULayer	Implements a layer with a rectified linear activation function
CResponseNormEdge	Response Normalization across filters at the same location
CRGBToYUVEdge	Implements an edge that maps RGB to YUV
Crnd_struct
CSequentialAveragedDataWriter	Averages a specified number of consecutive entries and writes the average into an HDF5 file
CSGDOptimizer	Stochastic gradient descent
CSlidingWindowDataIterator	An iterator over sliding windows of an image dataset
CSlidingWindowIterator	An iterator over sliding windows of an image
CSoftmaxDistLayer	Implements a layer with a softmax activation function
CSoftmaxLayer	Implements a layer with a softmax activation function
Csparse_data
CTextDataIterator	An iterator over data stored in a text file
CUpSampleEdge	Implements an up-sampling edge