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Get Started Tutorials How To API
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 * - Module
 * - Model
 * - Symbol
 * - I/O
 * - NDArray
 * - KVStore
 * R
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 * C++
 * Scala

Architecture Community
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 * Tutorials
 * How To
 * Model Zoo
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   * Python
   * R
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Eng Eng 中文
Flexible and Efficient Library for Deep Learning
Get Started



FLEXIBLE

Supports both imperative and symbolic programming


PORTABLE

Runs on CPUs or GPUs, on clusters, servers, desktops, or mobile phones


MULTIPLE LANGUAGES

Supports multiple languages, including C++, Python, R, Scala, Julia, Matlab and
Javascript - All with the same amazing performance.


AUTO-DIFFERENTIATION

Calculates the gradient automatically for training a model


DISTRIBUTED ON CLOUD

Supports distributed training on multiple CPU/GPU machines, including AWS, GCE,
Azure, and Yarn clusters


PERFORMANCE

Optimized C++ backend engine parallelizes both I/O and computation

MXNet is developed by collaborators from multiple universities and companies. We
sincerely thank the following organizations for supporting MXNet and sponsoring
its major developers (alphabetical order).
















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