Table Of Contents
Table Of Contents

Apache MXNet (incubating) Documents

Note

This a preview site for Apache MXNet aiming to replace the contents on https://mxnet.apache.org. Currently, this site only covers the Python frontend with a subset of tutorials. It is under fast developing. Check What’s new for a summary about what are changed and the roadmap.

Welcomeguide/crash-course/index.html

Apache MXNet (incubating) aims for a flexible and efficient library for deep learning. It’s designed for both researcher to fast prototype ideas and engineers to apply deep learning technologies to products.

Install

Platform: Local Cloud

Provider: AWS

Instruction:

There are several options you can access MXNet at AWS:

  • Deep Learning AMI: Amazon machine images with MXNet pre-installed, available for Ubuntu, Amazon Linux, and Windows 2016.
  • Sagemaer: a fully-managed machine learning platform with MXNet integrated.
OS: Linux Macos Windows
Package: Pip Docker

Backend: Native CUDA MKL-DNN CUDA + MKL-DNN

Build-in backend for CPU.
Required to run on Nvidia GPUs.
Accelarate Intel CPU performacne.
Enable both Nvidia CPUs and Inter CPU accelaration.

Prerequisite:

  • Require docker is installed and it can be used by a non-root user.
  • Require pip >= 9. is installed. Both Python 2 and Python 3 are supported.
  • Hint: append the flag --pre at the end of the command will install the nightly build.
  • Require CUDA is installed. Supported versions include 8.0, 9.0, 9.1, and 9.2.
  • Hint: cuDNN is already included in the MXNet binary, you don’t need to install it.
  • Hint: MKL-DNN is already included in the MXNet binary, you don’t need to install it.

Command:

pip install mxnet
# Here we assume CUDA 9.2 is installed. You can change the number
# according to your own CUDA version.
pip install mxnet-cu92
pip install mxnet-mkl
# Here we assume CUDA 9.2 is installed. You can change the number
# according to your own CUDA version.
pip install mxnet-cu92mkl
docker pull mxnet/python
docker pull mxnet/python:gpu
docker pull mxnet/python:1.3.0_cpu_mkl
docker pull mxnet/python:1.3.0_gpu_cu90_mkl_py3

Check Install for more installation instructions and options.

Documents

Guideguide/index.html

Guidelines to use MXNet.

APIapi/index.html

API reference to all MXNet classes and methods.

Ecosystem

Dive into Deep Learninghttps://diveintodeeplearning.org

An interactive book to learn deep learning for students and engineers.

GluonCVhttps://gluon-cv.mxnet.io

A deep learning toolkit for computer vision.

GluonNLPhttps://gluon-nlp.mxnet.io

A deep learning toolkit for natural language processing

Sockeyehttps://awslabs.github.io/sockeye/

A seq2seq toolkit with a focus on Neural Machine Translation

Kerashttps://github.com/awslabs/keras-apache-mxnet/wiki

Keras with Apache MXNet backend.

Community

Githubhttps://github.com/apache/incubator-mxnet/

Report bugs, request features, discuss issues, and more.

Disqushttps://mxnet.disqus.com

Comment and discuss this site to help us improve the document quality.

Forumhttps://discuss.mxnet.io/

Browse and join discussion on deep learning with MXNet.

Slackmailto:dev@mxnet.apache.org

Get questions answered. Email dev@mxnet.apache.org for access.

Adoptions

Companies and universities using MXNet:

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