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TensorFlow-Course
Jupyter Notebook

TensorFlow-Course

:satellite: Simple and ready-to-use tutorials for TensorFlow

by instillai · GitHub
16.3k
Stars
3.1k
Forks
MIT
License
2018
Created
3 yr ago
Last commit
deep-learning
Category
Jupyter Notebook
Language
deep-learningdeep-learning-tutorialpythonMITJupyter Notebook
View on GitHub
In plain words

Follow simple tutorials to learn how to use TensorFlow for deep learning projects.

From the README

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

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📄 About

:satellite: Simple and ready-to-use tutorials for TensorFlow

TensorFlow-Course has 16.3k stars on GitHub. It has been forked 3.1k times. TensorFlow-Course is written mainly in Jupyter Notebook. It has been in active development since 2018. TensorFlow-Course is available under the MIT license. Its main topics are deep-learning, deep-learning-tutorial, python, tensorflow.

❓ Frequently asked questions

What is TensorFlow-Course?

:satellite: Simple and ready-to-use tutorials for TensorFlow

Is TensorFlow-Course open source?

TensorFlow-Course is an open-source project. It is released under the MIT license.

Is TensorFlow-Course free?

Yes. TensorFlow-Course is free and open source — you can use, modify and self-host it.

What license does TensorFlow-Course use?

TensorFlow-Course is available under the MIT license.

What language is TensorFlow-Course written in?

TensorFlow-Course is written mainly in Jupyter Notebook.

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