blob: 81cb5a017373dd85d0f60f6dfbf378af853da53c [file] [log] [blame] [view]
[![Build Status](https://travis-ci.org/dmlc/mxnet.svg?branch=master)](https://travis-ci.org/dmlc/mxnet)
[![Documentation Status](https://readthedocs.org/projects/mxnet/badge/?version=latest)](http://mxnet.io/api/perl/index.html)
You have found MXNet Perl Package! The MXNet Perl packages brings flexible and efficient GPU
computing and state-of-art deep learning to Perl.
- It enables you to write seamless tensor/matrix computation with multiple GPUs in Perl.
- It also enables you to construct and customize state-of-art deep learning models in Perl,
and apply them to tasks such as image classification and data science challenges.
Installation
---------
* [MXNet Setup Document](http://mxnet.io/get_started/ubuntu_setup.html)
- Check this out for detailed documents, examples and installation guides.
License
-------
Copyright (C) 2017 by Sergey Kolychev <sergeykolychev.github@gmail.com>
This library is licensed under Apache 2.0 license https://www.apache.org/licenses/LICENSE-2.0