| .. Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| |
| Python Tutorials |
| ================ |
| |
| Getting started |
| --------------- |
| |
| .. container:: cards |
| |
| .. card:: |
| :title: A 60-minute Gluon crash course |
| :link: getting-started/crash-course/index.html |
| |
| A quick overview of the core concepts of MXNet using the Gluon API. |
| |
| .. card:: |
| :title: Moving from other frameworks |
| :link: getting-started/to-mxnet/index.html |
| |
| Guides that ease your transition to MXNet from other framework. |
| |
| |
| Packages & Modules |
| ------------------ |
| |
| .. container:: cards |
| |
| .. card:: |
| :title: Gluon |
| :link: packages/gluon/index.html |
| |
| MXNet's imperative interface for Python. If you're new to MXNet, start here! |
| |
| .. card:: |
| :title: NP and NPX |
| :link: packages/np/index.html |
| |
| This section contains the `mxnet.np` and `mxnet.npx` usage hints. |
| |
| .. card:: |
| :title: Autograd API |
| :link: /api/python/docs/tutorials/packages/autograd/index.html |
| |
| How to use Automatic Differentiation with the Autograd API. |
| |
| |
| |
| Performance |
| ----------- |
| .. container:: cards |
| |
| .. card:: |
| :title: Improving Performance |
| :link: performance/index.html |
| |
| How to get the best performance from MXNet. |
| |
| .. card:: |
| :title: Profiler |
| :link: performance/backend/profiler.html |
| |
| How to profile MXNet models. |
| |
| .. card:: |
| :title: Compression: int8 |
| :link: performance/compression/int8.html |
| |
| How to use int8 in your model to boost training speed. |
| |
| .. card:: |
| :title: oneDNN |
| :link: performance/backend/dnnl/index.html |
| |
| How to get the most from your CPU by using oneDNN. |
| |
| .. card:: |
| :title: TVM |
| :link: performance/backend/tvm.html |
| |
| How to use TVM to boost performance. |
| |
| |
| Deployment |
| ---------- |
| .. container:: cards |
| |
| .. card:: |
| :title: MXNet on EC2 |
| :link: deploy/run-on-aws/use_ec2.html |
| |
| How to deploy MXNet on an Amazon EC2 instance. |
| |
| .. card:: |
| :title: MXNet on SageMaker |
| :link: deploy/run-on-aws/use_sagemaker.html |
| |
| How to run MXNet using Amazon SageMaker. |
| |
| .. |
| PLACEHOLDER |
| .. card:: |
| :title: Export |
| :link: deploy/export/index.html |
| |
| How to export MXNet models. |
| |
| .. card:: |
| :title: C++ |
| :link: deploy/inference/cpp.html |
| |
| How to use MXNet models in a C++ environment. |
| |
| .. card:: |
| :title: Scala and Java |
| :link: deploy/inference/scala.html |
| |
| How to use MXNet models in a Scala or Java environment. |
| |
| PLACEHOLDER |
| .. |
| |
| |
| Customization |
| ------------- |
| |
| Coming Soon (CustomOps and Custom Operators) |
| |
| Next steps |
| ---------- |
| |
| - To learn more about using MXNet to implement various deep learning algorithms |
| from scratch, we recommend the `Dive into Deep Learning |
| <https://d2l.ai>`_ book. |
| |
| - Check out the `API Reference docs <../api/index.html>`_. |
| |
| .. raw:: html |
| |
| <style> h1 {display: none;} </style> |
| <style>.localtoc { display: none; }</style> |
| |
| |
| .. toctree:: |
| :hidden: |
| :maxdepth: 3 |
| |
| getting-started/index |
| packages/index |
| performance/index |
| deploy/index |
| extend/index |