PyDummyNN | A silly neural network algorithm for Python

by GleammerRay Python Version: Current License: MIT

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

kandi X-RAY | PyDummyNN Summary

PyDummyNN is a Python library. PyDummyNN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A neural network made by a persion who has no idea about any maths behind neural networks. Using the idea of interactions of neurons based on neural connection strengths.

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PyDummyNN 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.

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

It has a neutral sentiment in the developer community.

The latest version of PyDummyNN is current.

Quality

PyDummyNN has no bugs reported.

Security

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

License

PyDummyNN 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

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

Build file is available. You can build the component from source.

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PyDummyNN Key Features

No Key Features are available at this moment for PyDummyNN.

PyDummyNN Examples and Code Snippets

No Code Snippets are available at this moment for PyDummyNN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install PyDummyNN

You can download it from GitHub.
You can use PyDummyNN 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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