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This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation. **It will be continuously updated !** 🐍🐍🐍🐍🐍🐍
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## Contents
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#### 1 - Introduction
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-**Hello World** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/helloworld.ipynb)) ([code](1-Introduction/helloworld.py)). Very simple example to learn how to print "hello world" using TensorFlow.
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-**Variable** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/variable.ipynb)) ([code](1-Introduction/variable.py)). Learn to use variable in tensorflow.
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-**DQN** ([notebook](6-Reinforcement_Learning/YOLOV2.ipynb)) ([code](6-Reinforcement_Learning/YOLOV2.py)). deep Q-network (DQN).
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## Stargazers
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[](https://starcharts.herokuapp.com/YunYang1994/TensorFlow2.0-Examples)
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