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Title: GitHub - breakjiang/TensorFlow-Course: Simple and ready-to-use tutorials for TensorFlow · GitHub

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Description: Simple and ready-to-use tutorials for TensorFlow . Contribute to breakjiang/TensorFlow-Course development by creating an account on GitHub.

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README.rst	https://github.com/breakjiang/TensorFlow-Course/blob/master/README.rst
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TensorFlow Course	https://github.com/breakjiang/TensorFlow-Course#tensorflow-course
	https://github.com/breakjiang/TensorFlow-Course#tensorflow-course
	https://github.com/open-source-for-science/TensorFlow-Course/pulls
	https://github.com/ellerbrock/open-source-badge/
	https://github.com/breakjiang/TensorFlow-Course#table-of-contents
What is TensorFlow?	https://github.com/breakjiang/TensorFlow-Course#what-is-tensorflow
Motivation	https://github.com/breakjiang/TensorFlow-Course#motivation
Why use TensorFlow?	https://github.com/breakjiang/TensorFlow-Course#why-use-tensorflow
What's the point of this repository?	https://github.com/breakjiang/TensorFlow-Course#what-s-the-point-of-this-repository
TensorFlow Installation and Setup the Environment	https://github.com/breakjiang/TensorFlow-Course#tensorflow-installation-and-setup-the-environment
TensorFlow Tutorials	https://github.com/breakjiang/TensorFlow-Course#tensorflow-tutorials
Warm-up	https://github.com/breakjiang/TensorFlow-Course#warm-up
Basics	https://github.com/breakjiang/TensorFlow-Course#basics
Basic Machine Learning	https://github.com/breakjiang/TensorFlow-Course#basic-machine-learning
Neural Networks	https://github.com/breakjiang/TensorFlow-Course#neural-networks
Some Useful Tutorials	https://github.com/breakjiang/TensorFlow-Course#some-useful-tutorials
Contributing	https://github.com/breakjiang/TensorFlow-Course#contributing
Pull Request Process	https://github.com/breakjiang/TensorFlow-Course#pull-request-process
Final Note	https://github.com/breakjiang/TensorFlow-Course#final-note
Acknowledgement	https://github.com/breakjiang/TensorFlow-Course#acknowledgement
What is TensorFlow?	https://github.com/breakjiang/TensorFlow-Course#id1
	https://github.com/breakjiang/TensorFlow-Course#what-is-tensorflow
Motivation	https://github.com/breakjiang/TensorFlow-Course#id2
	https://github.com/breakjiang/TensorFlow-Course#motivation
Why use TensorFlow?	https://github.com/breakjiang/TensorFlow-Course#id3
	https://github.com/breakjiang/TensorFlow-Course#why-use-tensorflow
Keras	https://keras.io/
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What's the point of this repository?	https://github.com/breakjiang/TensorFlow-Course#id4
	https://github.com/breakjiang/TensorFlow-Course#whats-the-point-of-this-repository
TensorFlow Installation and Setup the Environment	https://github.com/breakjiang/TensorFlow-Course#id5
	https://github.com/breakjiang/TensorFlow-Course#tensorflow-installation-and-setup-the-environment
	https://github.com/breakjiang/TensorFlow-Course/blob/master/docs/tutorials/installation
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Basics	https://github.com/breakjiang/TensorFlow-Course#id8
	https://github.com/breakjiang/TensorFlow-Course#basics
	https://github.com/breakjiang/TensorFlow-Course/blob/master/_img/mainpage/basics.gif
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	https://github.com/breakjiang/TensorFlow-Course#basic-machine-learning
	https://github.com/breakjiang/TensorFlow-Course/blob/master/_img/mainpage/basicmodels.gif
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	https://github.com/breakjiang/TensorFlow-Course#some-useful-tutorials
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Sungjoon's TensorFlow-101	https://github.com/sjchoi86/Tensorflow-101
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Contributing	https://github.com/breakjiang/TensorFlow-Course#id12
	https://github.com/breakjiang/TensorFlow-Course#contributing
Pull Request Process	https://github.com/breakjiang/TensorFlow-Course#id13
	https://github.com/breakjiang/TensorFlow-Course#pull-request-process
Final Note	https://github.com/breakjiang/TensorFlow-Course#id14
	https://github.com/breakjiang/TensorFlow-Course#final-note
Acknowledgement	https://github.com/breakjiang/TensorFlow-Course#id15
	https://github.com/breakjiang/TensorFlow-Course#acknowledgement
Domenick Poster	https://github.com/vonclites/
Hadi Kazemi	http://www.hadikazemi.com/
Undercomplete Autoencoders Tutorial	https://github.com/breakjiang/TensorFlow-Course/blob/master/docs/tutorials/3-neural_network/autoencoder
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