Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.19.0
Performance library for Deep Learning
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Modules
Here is a list of all modules:
[detail level 1234]
oC API
|oPrimitive operations
||oCommon primitive operations
||oAttributesAn extension for controlling primitive behavior
|||\Sequence of post operationsAn extension for performing extra operations after a base operation
||oMemoryA primitive to describe and store data
||oReorderA primitive to copy data between memory formats
||oConcatA primitive to concatenate data by arbitrary dimension
||oSumA primitive to sum data
||oConvolutionA primitive to compute convolution using different algorithms
||oDeconvolutionA primitive to compute deconvolution using different algorithms
||oShuffleA primitive to shuffle data along the axis
||oEltwiseA primitive to compute element-wise operations like parametric rectifier linear unit (ReLU)
||oSoftmaxA primitive to perform softmax
||oPoolingA primitive to perform max or average pooling
||oLRNA primitive to perform local response normalization (LRN) across or within channels
||oBatch NormalizationA primitive to perform batch normalization
||oInner productA primitive to compute an inner product
||\RNNA primitive to compute the common recurrent layer
|oEngine operations
|oExecution stream operations
|oService functions
|oBLAS functionsA subset of Basic Linear ALgebra (BLAS) functions to perform matrix-matrix multiplication
|\Types
| oGeneric
| oAuxiliary types for memory description
| |\Operation descriptors
| oEngine
| oPrimitive descriptor iterators
| oPrimitive descriptors
| oPrimitive descriptor attributes
| oPrimitive
| oQueries
| \Execution stream
\C++ API
 oUtils
 oCommon data types and enumerationsA proxy to Types in C API
 oAttributesAn extension for controlling primitive behavior
 oEngineEngine operations
 oMemory and memory related operations
 |oMemoryA primitive to describe and store data
 |oReorderA primitive to copy data between memory formats
 |oViewA primitive to view on a memory
 |oConcatA primitive to concatenate data by arbitrary dimension
 |\SumA primitive to sum data
 oPrimitives
 |oPrimitive descriptors
 |oConvolutionA primitive to compute convolution using different algorithms
 |oDeconvolutionA primitive to compute deconvolution using different algorithms
 |oLRNA primitive to perform local response normalization (LRN) across or within channels
 |oPoolingA primitive to perform max or average pooling
 |oEltwiseA primitive to compute element-wise operations like parametric rectifier linear unit (ReLU)
 |oSoftmaxA primitive to perform softmax
 |oBatch normalizationA primitive to perform batch normalization
 |oInner ProductA primitive to compute an inner product
 |oRNNA primitive to compute common recurrent layer
 |\ShuffleA primitive to shuffle data along the axis
 \StreamExecution stream operations