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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


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Files for NNGA, version 0.0.7
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