From 9a000a2609c60ee00e87d4494559489ab398a0bf Mon Sep 17 00:00:00 2001 From: Yi Wang Date: Fri, 18 Nov 2016 16:17:39 +0800 Subject: [PATCH] Encourage users to file Github issues instead of emails. --- README.md | 30 ++++++++++++++---------------- 1 file changed, 14 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 81ff8c7122..e8679fb55f 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ 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 announcement](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. +Please refer to our [release announcement](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. ## Features @@ -26,15 +26,15 @@ Please refer to our [release announcement](https://github.com/baidu/Paddle/relea 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: - 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** + (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. @@ -57,41 +57,39 @@ Please refer to our [release announcement](https://github.com/baidu/Paddle/relea ## Installation Check out the [Install Guide](http://paddlepaddle.org/doc/build/) to install from -pre-built packages (**docker image**, **deb package**) or +pre-built packages (**docker image**, **deb package**) or directly build on **Linux** and **Mac OS X** from the source code. - + ## 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)
You can follow the quick start tutorial to learn how use PaddlePaddle step-by-step. - + - [Example and Demo](http://paddlepaddle.org/doc/demo/)
We provide five demos, including: image classification, sentiment analysis, - sequence to sequence model, recommendation, semantic role labeling. - + sequence to sequence model, recommendation, semantic role labeling. + - [Distributed Training](http://paddlepaddle.org/doc/cluster)
This system supports training deep learning models on multiple machines with data parallelism. - + - [Python API](http://paddlepaddle.org/doc/ui/)
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)
We sincerely appreciate your interest and contributions. If you would like to - contribute, please read the contribution guide. + contribute, please read the contribution guide. - [Source Code Documents](http://paddlepaddle.org/doc/source/)
## Ask Questions -Please join the [**gitter chat**](https://gitter.im/PaddlePaddle/Deep_Learning) or send email to -**paddle-dev@baidu.com** to ask questions and talk about methods and models. -Framework development discussions and -bug reports are collected on [Issues](https://github.com/baidu/paddle/issues). + +You are welcome to submit questions and bug reports as [Github Issues](https://github.com/baidu/paddle/issues). ## Copyright and License PaddlePaddle is provided under the [Apache-2.0 license](LICENSE). -- GitLab