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Merge pull request #146 from WuHaobo/en_docs 

en docs of the extensions
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docs/en/extension/multi_machine_training.md 100644
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# Distributed Training
Distributed deep neural networks training is highly efficient in PaddlePaddle.
And it is one of the PaddlePaddle's core advantage technologies.
On image classification tasks, distributed training can achieve almost linear acceleration ratio.
[Fleet](https://github.com/PaddlePaddle/Fleet) is High-Level API for distributed training in PaddlePaddle.
By using Fleet, a user can shift from local machine paddlepaddle code to distributed code easily.
In order to support both single-machine training and multi-machine training,
[PaddleClas](https://github.com/PaddlePaddle/PaddleClas) uses the Fleet API interface.
For more information about distributed training,
please refer to [Fleet API documentation](https://github.com/PaddlePaddle/Fleet/blob/develop/README.md).

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docs/en/extension/paddle_hub.md 100644
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# Paddle Hub
[PaddleHub](https://github.com/PaddlePaddle/PaddleHub) is a pre-trained model application tool for PaddlePaddle.
Developers can conveniently use the high-quality pre-trained model combined with Fine-tune API to quickly complete the whole process from model migration to deployment.
All the pre-trained models of [PaddleClas](https://github.com/PaddlePaddle/PaddleClas) have been collected by PaddleHub.
For further details, please refer to [PaddleHub website](https://www.paddlepaddle.org.cn/hub).