提交 f2694124 编写于 作者: S superjom

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上级 fa325162
# V2 API Overview V2 API Overview
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The PaddlePaddle V2 API is designed to provide a modern user interface for PaddlePaddle V1(the original layer-based platform of PaddlePaddle), it proposes some high-level concepts such as [Layers](http://www.paddlepaddle.org/docs/develop/api/en/v2/config/layer.html),[Optimizer](http://www.paddlepaddle.org/docs/develop/api/en/v2/config/optimizer.html),[Evaluator](http://www.paddlepaddle.org/docs/develop/api/en/v2/config/evaluators.html) and [Data Reader](http://www.paddlepaddle.org/docs/develop/api/en/v2/data/data_reader.html) to make the model configuration more familiar to users. The PaddlePaddle V2 API is designed to provide a modern user interface for PaddlePaddle V1(the original layer-based platform of PaddlePaddle),
it proposes some high-level concepts such as `Layers<http://www.paddlepaddle.org/docs/develop/api/en/v2/config/layer.html>`_ ,`Optimizer<http://www.paddlepaddle.org/docs/develop/api/en/v2/config/optimizer.html>`_ ,`Evaluator`<http://www.paddlepaddle.org/docs/develop/api/en/v2/config/evaluators.html>`_ and `Data Reader<http://www.paddlepaddle.org/docs/develop/api/en/v2/data/data_reader.html>`_ to make the model configuration more familiar to users.
A model is composed of the computation described by a group of `Layers`, with `Evaluator` to define the error, `Optimizer` to update the parameters and `Data Reader` to feed in the data. A model is composed of the computation described by a group of `Layers`, with `Evaluator` to define the error, `Optimizer` to update the parameters and `Data Reader` to feed in the data.
We also provide the [interface for Training and Inference](http://www.paddlepaddle.org/docs/develop/api/en/v2/run_logic.html) to help control the training and inference phrase, it has several easy to use methods We also provide the `interface for Training and Inference`<http://www.paddlepaddle.org/docs/develop/api/en/v2/run_logic.html`_ to help control the training and inference phrase,
it has several easy to use methods
- `paddle.train` - `paddle.train`
- `paddle.test` - `paddle.test`
- `paddle.infer` - `paddle.infer`
to better expose the internal running details, different [Events](http://www.paddlepaddle.org/docs/develop/api/en/v2/run_logic.html#event) are available to users by writing some callbacks. to better expose the internal running details, different `Events<http://www.paddlepaddle.org/docs/develop/api/en/v2/run_logic.html#event>`_ are available to users by writing some callbacks.
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