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

Pages = [
  "tutorial/mnist.md",
  "tutorial/char-lstm.md",
]
Depth = 2

User's Guide

Pages = [
  "user-guide/install.md",
  "user-guide/overview.md",
  "user-guide/faq.md",
]
Depth = 2

API Documentation

Pages = [
  "api/context.md",
  "api/ndarray.md",
  "api/symbolic-node.md",
  "api/model.md",
  "api/initializers.md",
  "api/optimizers.md",
  "api/callbacks.md",
  "api/metric.md",
  "api/io.md",
  "api/nn-factory.md",
  "api/executor.md",
  "api/visualize.md",
]