| .. 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. |
| |
| What is NP on MXNet |
| ===================== |
| |
| NP on MXNet provides a NumPy-like interface with extensions |
| for deep learning. It contains two modules, ``mxnet.np``, which is similar to |
| NumPy, and ``mxnet.npx``, which contains extended operators that are useful for deep |
| learning. |
| |
| If this is your first time using NP on MXNet, we recommend that you review the following topics in this section: |
| |
| .. toctree:: |
| :maxdepth: 1 |
| |
| cheat-sheet |
| np-vs-numpy |
