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dab2ddbb
编写于
11月 21, 2016
作者:
L
liaogang
提交者:
Yu Yang
11月 22, 2016
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# PaddlePaddle
# PaddlePaddle
[
![Build Status
](
https://travis-ci.org/baidu/Paddle.svg?branch=master
)
](https://travis-ci.org/baidu/Paddle)
[
![Build Status
](
https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop
)
](https://travis-ci.org/baidu/Paddle)
[
![Downloads
](
https://img.shields.io/github/downloads/baidu/Paddle/total.svg
)
](https://github.com/baidu/Paddle/releases)
[
![Coverage Status
](
https://coveralls.io/repos/github/baidu/Paddle/badge.svg?branch=develop
)
](https://coveralls.io/github/baidu/Paddle?branch=develop)
[
![Documentation Status
](
https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat
)
](http://www.paddlepaddle.org/)
[
![Documentation Status
](
https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat
)
](http://www.paddlepaddle.org/)
[
![Documentation Status
](
https://img.shields.io/badge/中文文档-最新-brightgreen.svg
)
](http://www.paddlepaddle.org/cn/index.html)
[
![Documentation Status
](
https://img.shields.io/badge/中文文档-最新-brightgreen.svg
)
](http://www.paddlepaddle.org/cn/index.html)
[
![Join the chat at
](
https://img.shields.io/gitter/room/PaddlePaddle/Deep_Learning.svg
)
](https://gitter.im/PaddlePaddle/Deep_Learning)
[
![Coverage Status
](
https://coveralls.io/repos/github/PaddlePaddle/Paddle/badge.svg?branch=develop
)
](https://coveralls.io/github/baidu/Paddle?branch=develop)
[
![Release
](
https://img.shields.io/github/release/baidu/Paddle.svg?colorB=fedcba
)
](https://github.com/baidu/Paddle/releases)
[
![Release
](
https://img.shields.io/github/release/baidu/Paddle.svg
)
](https://github.com/baidu/Paddle/releases)
[
![License
](
https://img.shields.io/badge/license-Apache%202-blue.svg
)
](LICENSE)
[
![License
](
https://img.shields.io/badge/license-Apache%202-blue.svg
)
](LICENSE)
Welcome to the PaddlePaddle GitHub.
Welcome to the PaddlePaddle GitHub.
PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use,
PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use,
efficient, flexible and scalable deep learning platform, which is originally
efficient, flexible and scalable deep learning platform, which is originally
developed by Baidu scientists and engineers for the purpose of applying deep
developed by Baidu scientists and engineers for the purpose of applying deep
...
...
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