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A Concise Handbook of TensorFlow 2
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                <b><a href="/zh_hans">简体中文版</a></b>           
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                <b><a href="/zh_hant">繁體中文版</a></b>           
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                <b><a href="/en">English Version</a></b>
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This is a concise handbook of TensorFlow 2 based on Keras and Eager Execution mode, aiming to help developers with some basic machine learning and Python knowledge to get started with TensorFlow 2 quickly.

The code of this handbook is based on TensorFlow 2.0 and 2.1 stable version. All sample code in this handbook can be found `here <https://github.com/snowkylin/tensorflow-handbook/tree/master/source/_static/code/>`_ . This handbook is a project of `Google Summer of Code 2019 <https://summerofcode.withgoogle.com/archive/2019/projects/5460192307707904/>`_ .

As of April 2020, a discussion board has been added at the end of each chapter. You are welcome to discuss, exchange ideas and provide suggestions at the end of the chapters.

This handbook is still in a beta version. Your suggestions are important!

GitHub： https://github.com/snowkylin/tensorflow-handbook

Q&A and discussion board: https://discuss.tf.wiki/c/share/handbook-comment-en

.. toctree:: 
    :maxdepth: 2
    :caption: Preface

    preface
    introduction

.. toctree:: 
    :maxdepth: 3
    :caption: Basic

    basic/installation
    basic/basic
    basic/models
    basic/tools

.. toctree:: 
    :maxdepth: 3
    :caption: Deployment

    deployment/export
    deployment/serving

.. toctree:: 
    :maxdepth: 3
    :caption: Large-scale Training

    appendix/distributed

.. toctree:: 
    :maxdepth: 3
    :caption: Extensions

    appendix/tfds  
    appendix/quantum

..
    .. toctree:: 
        :maxdepth: 3
        :caption: Appendix

        appendix/rl
        appendix/docker
        appendix/cloud
        appendix/jupyterlab
        appendix/recommended_books
        appendix/terms

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    Indices and tables
    ==================

    * :ref:`genindex`
    * :ref:`modindex`
    * :ref:`search`

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