... | ... | @@ -4,9 +4,9 @@ PaddlePaddle is the deep learning system originally developed in Baidu, the prim |
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In September 2016, Baidu open-sourced PaddlePaddle. It is one of the [most actively developed](https://twitter.com/fchollet/status/798566108810752001) one in the category.
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PaddlePaddle used to release a binary executable file that accepts a model configuration file in Python. Since February 2017, PaddlePaddle provides a [Python API](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/api.md) and the team is porting many [applications](https://github.com/paddlepaddle/models) and writing a [tutorial](http://book.paddlepaddle.org) using the API.
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PaddlePaddle used to release a binary executable file that accepts a model configuration file in Python. Since February 2017, PaddlePaddle provides a [Python API](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/api.md) and the team is porting many [applications](https://github.com/paddlepaddle/models) and writing a [tutorial](http://book.paddlepaddle.org) using the API.
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At the same time, the team is doing a thorough rewrite of the C++ core -- to represent deep learning computation by a conceptual model *nested blocks*. [TODO(wangkuiyi): link to design doc] Also the team is integrating PaddlePaddle and Kubernetes to make it support very large scale [distributed training](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/cluster_train).
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The team is also rewriting the C++ core -- including an innovative conceptual model *nested blocks* other than widely accepted *graph of operators*. [TODO(wangkuiyi): link to design doc] Also the team is integrating PaddlePaddle and Kubernetes to enable very large scale [distributed training](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/cluster_train).
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## How to Use Docker
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[Docker for beginners](https://github.com/PaddlePaddle/Paddle/wiki/docker-for-beginners)
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