bergel/NEAT
NEAT implementation in Pharo
This project helps Pharo developers create and evolve neural networks to solve specific computational problems without traditional deep learning training methods like backpropagation. You provide input data and define what a 'good' solution looks like, and the system evolves a neural network to achieve it. It's ideal for Pharo programmers exploring evolutionary artificial intelligence for problem-solving.
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Use this if you are a Pharo developer who needs to implement and visualize neuroevolution algorithms, specifically NEAT, for tasks like function approximation or simple decision-making, and you prefer an interactive development experience.
Not ideal if you are looking for a machine learning library in a language other than Pharo, or if you require state-of-the-art deep learning models for complex tasks like image recognition or natural language processing.
Stars
17
Forks
3
Language
Java
License
MIT
Category
Last pushed
May 08, 2020
Commits (30d)
0
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