pyneural | A simple , lightweight , neural network library for python

by jtriley Python Version: Current License: Non-SPDX

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kandi X-RAY | pyneural Summary

pyneural is a Python library. pyneural has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyneural has a Non-SPDX License. You can download it from GitHub.

PyNeural - A simple feed-forward, artificial neural network library for python. Copyright (C) 2008 Justin Riley (justin.t.riley@gmail.com). This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA. Currently supports the probablistic random weight change (prwc) and simulated annealing training algorithms for feed forward neural networks. After installing, run the main.py test to train a simple three layer neural network on the XOR problem.

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pyneural has a low active ecosystem.

It has 11 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of pyneural is current.

Quality

pyneural has no bugs reported.

Security

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

License

pyneural has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyneural 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.

Top functions reviewed by kandi - BETA

kandi has reviewed pyneural and discovered the below as its top functions. This is intended to give you an instant insight into pyneural implemented functionality, and help decide if they suit your requirements.

Train the neural network .
Gets the training error for the given epoch .
The main function .
Calculate delta_w_annealing .
Creates vector Neurons .
Compute the delta w .
Initialize the model .
Print a summary of parameters summary .
Set learning rate .
Set the number of epochs .

Get all kandi verified functions for this library.

pyneural Key Features

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pyneural Examples and Code Snippets

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Community Discussions

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Vulnerabilities

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Install pyneural

You can download it from GitHub.
You can use pyneural 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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