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MXNet Documentation

MXNet.jl is the Julia package of dmlc/mxnet. MXNet.jl brings flexible and efficient GPU computing and state-of-art deep learning to Julia. Some highlight of features include:

  • Efficient tensor/matrix computation across multiple devices, including multiple CPUs, GPUs and distributed server nodes.
  • Flexible symbolic manipulation to composite and construct state-of-the-art deep learning models.

For more details, see documentation below. Please also checkout the examples directory.

Tutorials

User's Guide

API Documentation