You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
96 lines
4.6 KiB
96 lines
4.6 KiB
# PaddlePaddle
|
|
|
|
| **`Linux`** | **`License`** | **`Chat Room`** |
|
|
|----------------|---------------|-----------------|
|
|
|[](https://travis-ci.org/baidu/Paddle)|[](LICENSE)|[](https://gitter.im/PaddlePaddle/Deep_Learning?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)|
|
|
|
|
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.
|
|
|
|
- **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**
|
|
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.
|
|
|
|
- **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.
|
|
|
|
## Installation
|
|
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
|
|
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>
|
|
You can follow the quick start tutorial to learn how use PaddlePaddle
|
|
step-by-step.
|
|
|
|
- [Example and Demo](http://paddlepaddle.org/doc/demo/) <br>
|
|
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>
|
|
This system supports training deep learning models on multiple machines
|
|
with data parallelism.
|
|
|
|
- [Python API](http://paddlepaddle.org/doc/ui/) <br>
|
|
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>
|
|
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>
|
|
|
|
## 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).
|
|
|
|
## Copyright and License
|
|
PaddlePaddle is provided under the [Apache-2.0 license](LICENSE).
|