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新手入门
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============
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.. _quick_install:
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快速安装
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++++++++
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PaddlePaddle支持使用pip快速安装，目前支持CentOS 6以上, Ubuntu 14.04以及MacOS 10.12，并安装有Python2.7。
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执行下面的命令完成快速安装：
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.. code-block:: bash
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pip install paddlepaddle
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如果需要安装支持GPU的版本，需要执行：
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.. code-block:: bash
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pip install paddlepaddle-gpu
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更详细的安装和编译方法参考：
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.. toctree::
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:maxdepth: 1
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build_and_install/index_cn.rst
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.. _quick_start:
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快速开始
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++++++++
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创建一个 housing.py 并粘贴此Python代码：
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.. code-block:: python
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import paddle.v2 as paddle
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# Initialize PaddlePaddle.
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paddle.init(use_gpu=False, trainer_count=1)
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# Configure the neural network.
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x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13))
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y_predict = paddle.layer.fc(input=x, size=1, act=paddle.activation.Linear())
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# Infer using provided test data.
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probs = paddle.infer(
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output_layer=y_predict,
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parameters=paddle.dataset.uci_housing.model(),
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input=[item for item in paddle.dataset.uci_housing.test()()])
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for i in xrange(len(probs)):
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print 'Predicted price: ${:,.2f}'.format(probs[i][0] * 1000)
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执行 :code:`python housing.py` 瞧！ 它应该打印出预测住房数据的清单。
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.. toctree::
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:maxdepth: 1
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concepts/use_concepts_cn.rst
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