Skip to main content

A neural networks combine genetic algorithm module.

Project description

$A neural networks combine genetic algorithm module.

Look how easy it is to use:

import neuralNetworkGA # Init algorithm ai = NeuroGA(4,[30],1) # Get networks gen = ai.next_gen_networks() # Input values then calculate with neural network, return result. res = gen[i].put_inputs(inputs) # Use score to mark a network to value this network bad or good. ai.mark_score(score,gen[i]) # Save result savenet(gen[i],1) # Load result geni = loadnet(‘gen_1’) res = geni.put_inputs(observation) …

Features

  • You do not have to know the algorithm.

  • Make things faster

  • Use the GA to train games of yourself.

Installation

Install NNGA by running:

pip install NNGA

Contribute

  • Source Code:

Support

If you are having issues, please let us know. We have a mailing list located at: 3075489925@qq.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

NNGA-0.0.3-py2.py3-none-any.whl (4.4 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page