diff --git a/README.md b/README.md index 05e544186a2d02c37475cf1fe9337ff7e146faf7..2162488f2f7dede106e5b264b67199f0bd8e0c05 100644 --- a/README.md +++ b/README.md @@ -1,60 +1,65 @@ # PaddlePaddle -[![Build Status](https://travis-ci.org/baidu/Paddle.svg?branch=master)](https://travis-ci.org/baidu/Paddle) -Welcome to the PaddlePaddle GitHub. - -Do you wanna try and play PaddlePaddle? Just following the [Install Guide](http://www.paddlepaddle.org/doc/build/index.html) and [Quick Start](http://www.paddlepaddle.org/doc/demo/quick_start/index_en.html). The chinese version is [Install Guide](http://www.paddlepaddle.org/doc_cn/build_and_install/index.html) and [Quick Start](http://www.paddlepaddle.org/doc_cn/demo/quick_start/index.html). +| **`Linux`** | +|----------------| +|[![Build Status](https://travis-ci.org/baidu/Paddle.svg?branch=master)](https://travis-ci.org/baidu/Paddle)| -Please refer to our [release log](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. +Welcome to the PaddlePaddle GitHub. PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu. +Our vision is to enable deep learning for everyone via PaddlePaddle. +Please refer to our [release log](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. + ## Features - **Flexibility** - PaddlePaddle supports a wide range of neural network architectures and - optimization algorithms. It is easy to configure complex models such as - neural machine translation model with attention mechanism or complex memory - connection. + PaddlePaddle supports a wide range of neural network architectures and + optimization algorithms. It is easy to configure complex models such as + neural machine translation model with attention mechanism or complex memory + connection. - **Efficiency** - In order to unleash the power of heterogeneous computing resource, - optimization occurs at different levels of PaddlePaddle, including - computing, memory, architecture and communication. The following are some - examples: - 1. Optimized math operations through SSE/AVX intrinsics, BLAS libraries - (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels. - 2. Highly optimized recurrent networks which can handle **variable-length** - sequence without padding. - 3. Optimized local and distributed training for models with high dimensional - sparse data. + In order to unleash the power of heterogeneous computing resource, + optimization occurs at different levels of PaddlePaddle, including + computing, memory, architecture and communication. The following are some + examples: + + - Optimized math operations through SSE/AVX intrinsics, BLAS libraries + (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels. + - Highly optimized recurrent networks which can handle **variable-length** + sequence without padding. + - Optimized local and distributed training for models with high dimensional + sparse data. - **Scalability** - With PaddlePaddle, it is easy to use many CPUs/GPUs and machines to speed - up your training. PaddlePaddle can achieve high throughput and performance - via optimized communication. + With PaddlePaddle, it is easy to use many CPUs/GPUs and machines to speed + up your training. PaddlePaddle can achieve high throughput and performance + via optimized communication. - **Connected to Products** - In addition, PaddlePaddle is also designed to be easily deployable. At Baidu, - PaddlePaddle has been deployed into products or service with a vast number - of users, including ad click-through rate (CTR) prediction, large-scale image - classification, optical character recognition(OCR), search ranking, computer - virus detection, recommendation, etc. It is widely utilized in products at - Baidu and it has achieved a significant impact. We hope you can also exploit - the capability of PaddlePaddle to make a huge impact for your product. + In addition, PaddlePaddle is also designed to be easily deployable. At Baidu, + PaddlePaddle has been deployed into products or service with a vast number + of users, including ad click-through rate (CTR) prediction, large-scale image + classification, optical character recognition(OCR), search ranking, computer + virus detection, recommendation, etc. It is widely utilized in products at + Baidu and it has achieved a significant impact. We hope you can also exploit + the capability of PaddlePaddle to make a huge impact for your product. ## Installation -See [Installation Guide](http://paddlepaddle.org/doc/build/) to install from pre-built package or build from the source code. (Note: The installation packages are still in pre-release state and your experience of installation may not be smooth.). - +Check out the [Install Guide](http://paddlepaddle.org/doc/build/) to install from +pre-built packages (**docker image**, **deb package**) or +directly build on **Linux** and **Mac OS X** from the source code. + ## Documentation -- [Chinese Documentation](http://paddlepaddle.org/doc_cn/)
+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)
You can follow the quick start tutorial to learn how use PaddlePaddle