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Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战,目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门,其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue,笔记网站正在建设中)。

Home Page: https://hecongqing.gitbook.io/tfnotes/

Python 1.48% Jupyter Notebook 98.48% Shell 0.05%

tensorflow2.0-notes's Introduction

该笔记欢迎star,不建议fork! 因为经常更新

实战案例

  • 实战一: MNIST数据集手写数字识别
  • 实战二:猫狗识别
  • 实战三:Google涂鸦识别挑战项目
  • 实战四:LSTM实现新闻文本分类算法
  • 实战五: Transformer实现英译中机器翻译
  • 实战六: Google涂鸦识别挑战项目 (GPU分布式训练)
  • 实战七: 花朵识别 (TPU分布式训练)
  • 实战八: BERT实现文本匹配
  • 实战九: tf.serving模型部署
  • 其他(TODO)

推荐项目实战

  • MIND算法(提供Demo数据) TODO

NLP项目实战

  • ESIM算法(蚂蚁金服智能客服问句匹配)

CV项目识别

TODO

参考资料

tensorflow2.0-notes's People

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