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Add guide for documentation-9-"RNN模型" #8882
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.. toctree:: | ||
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rnn_config_cn.rst | ||
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Done.
doc/v2/howto/rnn/index_cn.rst
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RNN模型 | |||
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循环神经网络(RNN)是对序列数据建模的重要工具。PaddlePaddle提供了灵活的接口以支持复杂循环神经网络的构建。 | |||
这一部分将分以下章节详细介绍如何使用PaddlePaddle搭建循环神经网络。 |
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全文中的“本章节”词语太大了,可重新调整下。比如第四行:
这一部分将分为以下四方面详细介绍如何使用PaddlePaddle搭建循环神经网络?
下同
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Done.
doc/v2/howto/rnn/index_cn.rst
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.. toctree:: | ||
:maxdepth: 1 | ||
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rnn_config_cn.rst | ||
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本章节由浅入深的展示了使用PaddlePaddle搭建循环神经网络的全貌:首先以简单的循环神经网络(vanilla RNN)为例, | ||
说明如何封装配置循环神经网络组件;然后更进一步的通过sequence to sequence模型,逐步讲解如何构建完整而复杂的循环神经网络模型。 |
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sequence to sequence-》序列到序列(sequence to sequence)
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Done.
doc/v2/howto/rnn/index_cn.rst
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hierarchical_layer_cn.rst | ||
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本章节对双层序列进行了解释说明,列出了PaddlePaddle中支持双层序列作为输入的Layer并对其使用进行了逐一介绍。 |
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这句太长,需要断句下:列出了PaddlePaddle中支持双层序列作为输入的Layer,并对其使用进行了逐一介绍。
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Done.
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LGTM
Resolve #8219