nn_numpy | Implementation of Neural Networks using only Numpy

by lordmartian Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | nn_numpy Summary

nn_numpy is a Jupyter Notebook library. nn_numpy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Implementation of Neural Networks using only Numpy

Support

Quality

Security

License

Reuse

Support

nn_numpy 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.

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

It has a neutral sentiment in the developer community.

The latest version of nn_numpy is current.

Quality

nn_numpy has no bugs reported.

Security

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

License

nn_numpy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of nn_numpy

Get all kandi verified functions for this library.

nn_numpy Key Features

No Key Features are available at this moment for nn_numpy.

nn_numpy Examples and Code Snippets

No Code Snippets are available at this moment for nn_numpy.

Community Discussions

No Community Discussions are available at this moment for nn_numpy.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nn_numpy

You can download it from GitHub.

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 .

Find more information at: