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Credits
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========
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PaddlPaddle is an easy-to-use, efficient, flexible and scalable deep learning platform,
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which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
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PaddlePaddle is now open source but far from complete, which is intended to be built upon, improved, scaled, and extended.
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We hope to build an active open source community both by providing feedback and by actively contributing to the source code.
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We owe many thanks to `all contributors and developers <https://github.com/PaddlePaddle/Paddle/blob/develop/authors>`_ of PaddlePaddle!
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Algorithm Tutorial
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==================
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.. toctree::
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:maxdepth: 1
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rnn/rnn.rst
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../../demo/sentiment_analysis/bi_lstm.jpg
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../../demo/text_generation/encoder-decoder-attention-model.png
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# API
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## Data Provider
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* [Introduction](data_provider/index.rst)
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* [PyDataProvider2](data_provider/pydataprovider2.rst)
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## Trainer Configuration
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* [Model Config Interface](trainer_config_helpers/index.rst)
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## Predict
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* [Python Prediction API](predict/swig_py_paddle_en.rst)
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Cluster Train
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====================
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.. toctree::
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:glob:
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opensource/cluster_train.md
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internal/index.md
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# Layer Documents
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* [Layer Source Code Document](../source/gserver/layers/index.rst)
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* [Layer Python API Document](../ui/api/trainer_config_helpers/index.rst)
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Algorithm Configuration
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=======================
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.. toctree::
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:maxdepth: 1
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rnn/rnn.rst
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