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14 lines
732 B
Plaintext
14 lines
732 B
Plaintext
Apache MXNet is a deep learning framework designed for both efficiency and
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flexibility. It allows you to mix symbolic and imperative programming to
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maximize efficiency and productivity. At its core, MXNet contains a dynamic
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dependency scheduler that automatically parallelizes both symbolic and
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imperative operations on the fly. A graph optimization layer on top of that
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makes symbolic execution fast and memory efficient. MXNet is portable and
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lightweight, scaling effectively to multiple GPUs and multiple machines.
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MXNet is more than a deep learning project. It is a collection of blue prints
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and guidelines for building deep learning systems, and interesting insights of
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DL systems for hackers.
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WWW: https://mxnet.apache.org/
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