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轻量级深度学习库 MXNet




  • Design notes providing useful insights that can re-used by other DL projects

  • Flexible configuration for arbitrary computation graph

  • Mix and match good flavours of programming to maximize flexibility and efficiency

  • Lightweight, memory efficient and portable to smart devices

  • Scales up to multi GPUs and distributed setting with auto parallelism

  • Support for python, R, C++ and Julia

  • Cloud-friendly and directly compatible with S3, HDFS, and Azure

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