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9a000a26
编写于
11月 18, 2016
作者:
Y
Yi Wang
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...
...
@@ -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
)
<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.
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.
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
)
.
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
)
.
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