CS20SI_tensorflow_tutorials | Stanford tensorflow tutorials

by maplezzz Python Version: Current License: No License

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kandi X-RAY | CS20SI_tensorflow_tutorials Summary

CS20SI_tensorflow_tutorials is a Python library. CS20SI_tensorflow_tutorials has no bugs, it has no vulnerabilities and it has low support. However CS20SI_tensorflow_tutorials build file is not available. You can download it from GitHub.

Stanford tensorflow tutorials

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CS20SI_tensorflow_tutorials has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

CS20SI_tensorflow_tutorials has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CS20SI_tensorflow_tutorials is current.

Quality

CS20SI_tensorflow_tutorials has no bugs reported.

Security

CS20SI_tensorflow_tutorials has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CS20SI_tensorflow_tutorials does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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CS20SI_tensorflow_tutorials releases are not available. You will need to build from source code and install.

CS20SI_tensorflow_tutorials has no build file. You will be need to create the build yourself to build the component from source.

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CS20SI_tensorflow_tutorials Key Features

No Key Features are available at this moment for CS20SI_tensorflow_tutorials.

CS20SI_tensorflow_tutorials Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install CS20SI_tensorflow_tutorials

You can download it from GitHub.
You can use CS20SI_tensorflow_tutorials like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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