| .. 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. |
| |
| Crash Course |
| ============ |
| |
| This crash course will give you a quick overview of the core concept of NDArray |
| (manipulating multiple dimensional arrays) and Gluon (create and train neural |
| networks). This is a good place to start if you are already familiar with |
| machine learning or other deep learning frameworks. |
| |
| .. toctree:: |
| :maxdepth: 1 |
| :caption: Contents |
| |
| 1-ndarray |
| 2-nn |
| 3-autograd |
| 4-train |
| 5-predict |
| 6-use_gpus |
| |
| |
| .. |
| # add back the videos until apis are updated. |
| You can also watch the video tutorials for this crash course. Note that two APIs |
| described in vidoes have changes: |
| |
| - ``with name_scope`` is not necessary any more. |
| - use ``save_parameters/load_parameters`` instead of ``save_params/load_params`` |
| |
| .. raw:: html |
| |
| <style> iframe {width: 448px; height: 252px; margin: 1em 0;} </style> |
| |
| <iframe src="https://www.youtube.com/embed/r4-Ynxw0X5w" frameborder="0" |
| allow="accelerometer; autoplay; encrypted-media; gyroscope; |
| picture-in-picture" allowfullscreen></iframe> |
