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# PaddlePaddle
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English | [简体中文](./README_cn.md)
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[](https://travis-ci.org/PaddlePaddle/Paddle)
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[](http://paddlepaddle.org/documentation/docs/en/1.2/getstarted/index_en.html)
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[](https://github.com/PaddlePaddle/Paddle/releases)
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[](LICENSE)
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Welcome to the PaddlePaddle GitHub.
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PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use,
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@ -18,16 +18,6 @@ learning to many products at Baidu.
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Our vision is to enable deep learning for everyone via PaddlePaddle.
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Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddle/releases) to track the latest feature of PaddlePaddle.
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欢迎来到 PaddlePaddle GitHub
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PaddlePaddle (PArallel Distributed Deep LEarning) 是一个简单易用、高效灵活、可扩展的深度学习平台，最初由百度科学家和工程师共同开发，目的是将深度学习技术应用到百度的众多产品中。
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我们的愿景是让每个人都能通过PaddlePaddle接触深度学习
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跟进PaddlePaddle最新特性请参考我们的[版本说明](https://github.com/PaddlePaddle/Paddle/releases)
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### Latest PaddlePaddle Release: [Fluid 1.2.0](https://github.com/PaddlePaddle/Paddle/tree/release/1.2)
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### Install Latest Stable Release:
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```
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@ -43,23 +33,6 @@ pip install paddlepaddle-gpu==1.2.0.post85
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# For installation on other platform, refer to http://paddlepaddle.org/
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```
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### PaddlePaddle最新版本: [Fluid 1.2.0](https://github.com/PaddlePaddle/Paddle/tree/release/1.2)
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### 安装最新稳定版本:
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```
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# Linux CPU
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pip install paddlepaddle
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# Linux GPU cuda9cudnn7
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pip install paddlepaddle-gpu
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# Linux GPU cuda8cudnn7
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pip install paddlepaddle-gpu==1.2.0.post87
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# Linux GPU cuda8cudnn5
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pip install paddlepaddle-gpu==1.2.0.post85
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# 其他平台上的安装指引请参考 http://paddlepaddle.org/
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```
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## Features
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- **Flexibility**
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@ -100,38 +73,10 @@ pip install paddlepaddle-gpu==1.2.0.post85
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Baidu and it has achieved a significant impact. We hope you can also explore
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the capability of PaddlePaddle to make an impact on your product.
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## 特点
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- **灵活性**
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PaddlePaddle支持丰富的神经网络架构和优化算法。易于配置复杂模型，例如带有注意力机制或复杂记忆连接的神经网络机器翻译模型。
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- **高效性**
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为了高效使用异步计算资源，PaddlePaddle对框架的不同层进行优化，包括计算、存储、架构和通信。下面是一些样例：
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- 通过SSE/AVX 内置函数、BLAS库(例如MKL、OpenBLAS、cuBLAS)或定制的CPU/GPU内核优化数学操作。
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- 通过MKL-DNN库优化CNN网络
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- 高度优化循环网络，无需执行 `padding` 操作即可处理 **变长** 序列
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- 针对高维稀疏数据模型，优化了局部和分布式训练。
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- **稳定性**
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有了 PaddlePaddle，使得利用各种CPU/GPU和机器来加速训练变得简单。PaddlePaddle 通过优化通信可以实现巨大吞吐量和快速执行。
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- **连接产品**
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另外，PaddlePaddle 的设计也易于部署。在百度，PaddlePaddle 已经部署到含有巨大用户量的产品和服务上，包括广告点击率（CTR）预测、大规模图像分类、光学字符识别（OCR）、搜索排序，计算机病毒检测、推荐系统等等。PaddlePaddle广泛应用于百度产品中，产生了非常重要的影响。我们希望您也能探索 PaddlePaddle 的能力，为您的产品创造新的影响力和效果。
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## Installation
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It is recommended to read [this doc](http://paddlepaddle.org/documentation/docs/zh/1.2/beginners_guide/install/index_cn.html) on our website.
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## 安装
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推荐阅读官网上的[安装说明](http://paddlepaddle.org/documentation/docs/zh/1.2/beginners_guide/install/index_cn.html)
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## Documentation
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We provide [English](http://paddlepaddle.org/documentation/docs/en/1.2/getstarted/index_en.html) and
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@ -153,37 +98,9 @@ We provide [English](http://paddlepaddle.org/documentation/docs/en/1.2/getstarte
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We appreciate your contributions!
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## 文档
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我们提供[英文](http://paddlepaddle.org/documentation/docs/en/1.2/getstarted/index_en.html)和
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[中文](http://paddlepaddle.org/documentation/docs/zh/1.2/beginners_guide/index.html) 文档
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- [深度学习101](https://github.com/PaddlePaddle/book)
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或许您想从这个在线交互式书籍开始，可以在Jupyter Notebook中运行
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- [分布式训练](http://paddlepaddle.org/documentation/docs/zh/1.2/user_guides/howto/training/cluster_howto.html)
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可以在MPI集群上运行分布式训练任务
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- [Python API](http://paddlepaddle.org/documentation/docs/zh/1.2/api_cn/index_cn.html)
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新的API支持代码更少更简洁的程序
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- [贡献方式](http://paddlepaddle.org/documentation/docs/zh/1.2/advanced_usage/development/contribute_to_paddle/index_cn.html)
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欢迎您的贡献!
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## Ask Questions
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You are welcome to submit questions and bug reports as [Github Issues](https://github.com/PaddlePaddle/Paddle/issues).
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## 答疑
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欢迎您将问题和bug报告以[Github Issues](https://github.com/PaddlePaddle/Paddle/issues)的形式提交
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## Copyright and License
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PaddlePaddle is provided under the [Apache-2.0 license](LICENSE).
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## 版权和许可证
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PaddlePaddle由[Apache-2.0 license](LICENSE)提供
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Cheerego
6 years ago
committed by
GitHub