libmkldnn-doc - 0.17.4-1 main

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
an open source performance library for deep learning applications. The library
accelerates deep learning applications and framework on Intel(R) architecture.
Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
can use to implement deep neural networks (DNN) with C and C++ interfaces.
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DNN functionality optimized for Intel architecture is also included in
Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
is not compatible with Intel MKL-DNN and does not include certain new and
experimental features.
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One can choose to build Intel MKL-DNN without binary dependency. The resulting
version will be fully functional, however performance of certain convolution
shapes and sizes and inner product relying on SGEMM function may be suboptimal.
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This package contains the doxygen documentation.