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ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
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| CAvgPooler | |
| Cbbox | |
| ▼CConvNet | A Convolutional Net Model |
| CGradChecker | |
| CMultiGPUConvNet | |
| Ccudamat | |
| Ccudamat_bbox | |
| Ccudamat_sparse | |
| CDataHandler | Makes data accessible to the model |
| ▼CDataIterator | Base class for implementing data iterators |
| CDummyDataIterator | A dummy iterator |
| CHDF5DataIterator< T > | An iterator over a dataset in an HDF5 file |
| CImageDataIterator | An iterator over images stored as individual files |
| CSlidingWindowDataIterator | An iterator over sliding windows of an image dataset |
| CTextDataIterator | An iterator over data stored in a text file |
| ▼CDataWriter | Writes data into an HDF5 file |
| CAveragedDataWriter | Buffers a specified number of batches, averages them and then writes the average into an HDF5 file |
| CSequentialAveragedDataWriter | Averages a specified number of consecutive entries and writes the average into an HDF5 file |
| ▼CEdge | This class is intended to be used as a base class for implementing edges |
| CDownSampleEdge | Implements a down-sampling edge |
| ▼CEdgeWithWeight | Base class for all edges which have weights |
| CConvEdge | Implements a convolutional edge |
| CConvOneToOneEdge | An edge with one-to-one connectivity over spatial locations |
| CFCEdge | Implements a fully-connected edge |
| CLocalEdge | Implements a locally connected edge |
| CMaxPoolEdge | Implements a Max-pool edge |
| CResponseNormEdge | Response Normalization across filters at the same location |
| CRGBToYUVEdge | Implements an edge that maps RGB to YUV |
| CUpSampleEdge | Implements an up-sampling edge |
| CImageDisplayer | |
| ▼CLayer | The base class for all layers |
| ▼CLinearLayer | Implements a layer with a linear activation function |
| CReLULayer | Implements a layer with a rectified linear activation function |
| CLogisticLayer | Implements a layer with a logistic activation function |
| ▼CSoftmaxLayer | Implements a layer with a softmax activation function |
| CSoftmaxDistLayer | Implements a layer with a softmax activation function |
| CMatrix | A GPU matrix class |
| CMaxPooler | |
| ▼COptimizer | Base class for all optimizers |
| CLBFGSOptimizer | Implmenets LBFGS optimization |
| CSGDOptimizer | Stochastic gradient descent |
| CProbMaxPooler | |
| CRawImageFileIterator< T > | An iterator over list of image files |
| CRawImageFileIterator< unsigned char > | |
| Crnd_struct | |
| CSlidingWindowIterator< T > | An iterator over sliding windows of an image |
| CSlidingWindowIterator< unsigned char > | |
| Csparse_data |
1.8.7