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编写于
3月 20, 2017
作者:
Y
Yi Wang
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@@ -2,8 +2,8 @@
...
@@ -2,8 +2,8 @@
[
![Build Status
](
https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop
)
](https://travis-ci.org/PaddlePaddle/Paddle)
[
![Build Status
](
https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop
)
](https://travis-ci.org/PaddlePaddle/Paddle)
[
![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/
develop/doc/
)
[
![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/
doc_cn/
)
[
![Coverage Status
](
https://coveralls.io/repos/github/PaddlePaddle/Paddle/badge.svg?branch=develop
)
](https://coveralls.io/github/PaddlePaddle/Paddle?branch=develop)
[
![Coverage Status
](
https://coveralls.io/repos/github/PaddlePaddle/Paddle/badge.svg?branch=develop
)
](https://coveralls.io/github/PaddlePaddle/Paddle?branch=develop)
[
![Release
](
https://img.shields.io/github/release/PaddlePaddle/Paddle.svg
)
](https://github.com/PaddlePaddle/Paddle/releases)
[
![Release
](
https://img.shields.io/github/release/PaddlePaddle/Paddle.svg
)
](https://github.com/PaddlePaddle/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)
...
@@ -59,36 +59,36 @@ Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddl
...
@@ -59,36 +59,36 @@ Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddl
the capability of PaddlePaddle to make a huge impact for your product.
the capability of PaddlePaddle to make a huge impact for your product.
## Installation
## Installation
Check out the
[
Install Guide
](
http://paddlepaddle.org/doc/build/
)
to install from
pre-built packages (
**docker image**
,
**deb package**
) or
It is recommended to check out the
directly build on
**Linux**
and
**Mac OS X**
from the source code.
[
Docker installation guide
](
http://www.paddlepaddle.org/develop/doc/getstarted/build_and_install/docker_install_en.html
)
before looking into the
[
build from source guide
](
http://www.paddlepaddle.org/develop/doc/getstarted/build_and_install/build_from_source_en.html
)
## Documentation
## Documentation
Both
[
English Docs
](
http://paddlepaddle.org/doc/
)
and
[
Chinese Docs
](
http://paddlepaddle.org/doc_cn/
)
are provided for our users and developers.
-
[
Quick Start
](
http://paddlepaddle.org/doc/demo/quick_start/index_en
)
<br>
We provide
[
English
](
http://www.paddlepaddle.org/develop/doc/
)
and
You can follow the quick start tutorial to learn how use PaddlePaddle
[
Chinese
](
http://www.paddlepaddle.org/doc_cn/
)
documentation.
step-by-step.
-
[
Deep Learning 101
](
http://book.paddlepaddle.org/index.en.html
)
You might want to start from the this online interactive book that can run in Jupyter Notebook.
-
[
Distributed Training
](
http://www.paddlepaddle.org/develop/doc/howto/usage/cluster/cluster_train_en.html
)
You can run distributed training jobs on MPI clusters.
-
[
Distributed Training on Kubernetes
](
http://www.paddlepaddle.org/develop/doc/howto/usage/k8s/k8s_en.html
)
-
[
Example and Demo
](
http://paddlepaddle.org/doc/demo/
)
<br>
You can also run distributed training jobs on Kubernetes clusters.
We provide five demos, including: image classification, sentiment analysis,
sequence to sequence model, recommendation, semantic role labeling.
-
[
Distributed Training
](
http://paddlepaddle.org/doc/cluster
)
<br>
-
[
Python API
](
http://www.paddlepaddle.org/develop/doc/api/index_en.html
)
This system supports training deep learning models on multiple machines
with data parallelism.
-
[
Python API
](
http://paddlepaddle.org/doc/ui/
)
<br>
Our new API enables much shorter programs.
PaddlePaddle supports using either Python interface or C++ to build your
system. We also use SWIG to wrap C++ source code to create a user friendly
interface for Python. You can also use SWIG to create interface for your
favorite programming language.
-
[
How to Contribute
](
http://paddlepaddle.org/doc/build/contribute_to_paddle.html
)
<br>
-
[
How to Contribute
](
http://www.paddlepaddle.org/develop/doc/howto/dev/contribute_to_paddle_en.html
)
We sincerely appreciate your interest and contributions. If you would like to
contribute, please read the contribution guide.
-
[
Source Code Documents
](
http://paddlepaddle.org/doc/source/
)
<br>
We appreciate your contributions!
## Ask Questions
## Ask Questions
...
...
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