cs12-tensorflow | Caltech Tensorflow

by rjdw Jupyter Notebook Version: Current License: GPL-3.0

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kandi X-RAY | cs12-tensorflow Summary

cs12-tensorflow is a Jupyter Notebook library. cs12-tensorflow has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Caltech Tensorflow

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cs12-tensorflow has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cs12-tensorflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cs12-tensorflow is current.

Quality

cs12-tensorflow has no bugs reported.

Security

cs12-tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cs12-tensorflow is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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cs12-tensorflow releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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cs12-tensorflow Key Features

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cs12-tensorflow Examples and Code Snippets

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Vulnerabilities

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Install cs12-tensorflow

You should do this setup before the first lab. For this class, we'll using Python 3. The easiest way to complete the setup is in a virtual environment, which I walk you through below. Note that TensorFlow currently only supports Python 3.8-3.11, so I will assume you have one of those versions installed, with pip set up correctly. I'm also assuming you're setting this up on a standard Linux system. If not, proceed carefully.
Using a clean virtualenv
Using a clean Linux VM
Asking a friend
Using Colaboratory (see below)

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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