Contains classes for neural network 2D convolution layer.
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| backward |
| Contains classes for the backward 2D convolution layer.
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| forward |
| Contains classes for the forward 2D convolution layer.
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| interface1 |
| Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
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struct | KernelSizes |
| Data structure representing the size of the two-dimensional kernel subtensor. More...
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struct | Strides |
| Data structure representing the intervals on which the subtensors for 2D convolution are selected. More...
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struct | Paddings |
| Data structure representing the number of data elements to implicitly add to each size of the two-dimensional subtensor on which 2D convolution is performed. More...
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struct | Indices |
| Data structure representing the indices of the two dimensions on which 2D convolution is performed. More...
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Available identifiers of results of the forward 2D convolution layer and input objects for the backward 2D convolution layer
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auxData |
Data processed at the forward stage of the layer
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auxWeights |
Input weights for forward stage of the layer
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Available methods to compute forward and backward 2D convolution layer
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defaultDense |
Default: performance-oriented method.
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