deep_quad | second order Taylor approximations in deep NNs

by cgel Python Version: Current License: No License

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kandi X-RAY | deep_quad Summary

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

Exploring the uses of second order Taylor approximations in deep NNs using tensorflow

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Support

deep_quad 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.

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

It has a neutral sentiment in the developer community.

The latest version of deep_quad is current.

Quality

deep_quad has no bugs reported.

Security

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

License

deep_quad 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.

Reuse

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

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

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deep_quad Key Features

No Key Features are available at this moment for deep_quad.

deep_quad Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install deep_quad

You can download it from GitHub.
You can use deep_quad 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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