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- Open and Easy-to-Use Deep Learning Platform for Enterprise and Research
- Quick Start - Documentation - Code -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. -
- -PaddlePaddle is designed to be easy to use. It provides an intuitive and yet flexible interface for loading data and specifying model structure.
-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.
-In order to unleash the power of heterogeneous computing resource, optimization occurs at different levels of PaddlePaddle, including computing, memory, architecture and 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.
-If there is any problem to use PaddlePaddle, please contact paddle-dev@baidu.com
-This site will be available at noon on 09/01/2016.
+ diff --git a/index.html.tmp b/index.html.tmp new file mode 100644 index 0000000000000000000000000000000000000000..c00ccc1ed20fbdc9abde8364525e950c290317d8 --- /dev/null +++ b/index.html.tmp @@ -0,0 +1,281 @@ + + + + + + + + + + + +Open and Easy-to-Use Deep Learning Platform for Enterprise and Research
+ Quick Start + Documentation + Code +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. +
+ +PaddlePaddle is designed to be easy to use. It provides an intuitive and yet flexible interface for loading data and specifying model structure.
+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.
+In order to unleash the power of heterogeneous computing resource, optimization occurs at different levels of PaddlePaddle, including computing, memory, architecture and 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.
+If there is any problem to use PaddlePaddle, please contact paddle-dev@baidu.com
+
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