Python Tutorials

Getting started

A 60-minute Gluon crash coursegetting-started/crash-course/index.html

A quick overview of the core concepts of MXNet using the Gluon API.

Moving from other frameworksgetting-started/to-mxnet/index.html

Guides that ease your transition to MXNet from other framework.

Packages & Modules

Gluonpackages/gluon/index.html

MXNet’s imperative interface for Python. If you’re new to MXNet, start here!

NDArray APIpackages/ndarray/index.html

How to use the NDArray API to manipulate data. A useful set of tutorials for beginners.

Symbol APIpackages/symbol/index.html

How to use MXNet’s Symbol API.

Autograd APIpackages/autograd/autograd.html

How to use Automatic Differentiation with the Autograd API.

Performance

Improving Performanceperformance/index.html

How to get the best performance from MXNet.

Profilerperformance/backend/profiler.html

How to profile MXNet models.

Compression: int8performance/int8.html

How to use int8 in your model to boost training speed.

MKL-DNNperformance/backend/mkl-dnn.html

How to get the most from your CPU by using Intel’s MKL-DNN.

TVMperformance/backend/tvm.html

How to use TVM to boost performance.

Deployment

MXNet on EC2deploy/run-on-aws/use_ec2.html

How to deploy MXNet on an Amazon EC2 instance.

MXNet on SageMakerdeploy/run-on-aws/use_sagemaker.html

How to run MXNet using Amazon SageMaker.

Customization

Coming Soon (CustomOps and Custom Operators)

Next steps