Shypd.aiThe largest open index of AI toolsneural-network-genetic-algorithm is an open-source coding & development tool that evolves neural networks using genetic algorithms. It helps find optimal network parameters for classification tasks, supporting MLPs and Keras.
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neural-network-genetic-algorithm is an open-source project designed to evolve neural networks using a genetic algorithm. This tool focuses on identifying optimal network parameters for various classification tasks. It is currently limited to Multi-Layer Perceptrons (MLPs) and leverages the Keras library for building, training, and validating networks. The project demonstrates its effectiveness by quickly achieving over 98% accuracy on the MNIST dataset and 56% on the CIFAR10 dataset after 10 generations. The repository includes Python scripts for both brute-force and genetic algorithm approaches, allowing users to customize network parameters and choose between MNIST or CIFAR10 datasets. It serves as a practical example for those interested in applying genetic algorithms to neural network optimization.
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