Intel(R) Math Kernel Library for Deep Neural Network
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 frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces.
DNN functionality optimized for Intel architecture is also included in Intel Math Kernel Library (Intel MKL). The API in that implementation is not compatible with Intel MKL-DNN and does not include certain new and experimental features.
This release contains performance-critical functions that improve performance of the following deep learning topologies and variations of these:
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Source Files
Filename | Size | Changed |
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_service | 0000000735 735 Bytes | |
mkl-dnn-v1.1.3.obscpio | 0016095245 15.3 MB | |
mkl-dnn.changes | 0000002129 2.08 KB | |
mkl-dnn.obsinfo | 0000000098 98 Bytes | |
mkl-dnn.spec | 0000005553 5.42 KB |
Revision 1 (latest revision is 4)
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