 |
VOOZH | about |
Genetic Algorithm for Neural Network Architecture and Hyperparameter Optimization and Neural Network Weight Optimization with Genetic Algorithm
Excel file, Presentation Slides, and Python code used in the published SLR paper: RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review
This project aims to use genetic algorithms to boost the learning of DNN. Building and training a family of NN with same structure and hyperparameters from scratch but starting from different random weights. After a few epochs of training, the networks that perform better are chosen and crossover their weights in order to mating and produce the …
Optimizing neural network weights using Evolutionary Algorithms
Weight optimization of a frame via evolution strategy.
Add a description, image, and links to the weight-optimization topic page so that developers can more easily learn about it.
To associate your repository with the weight-optimization topic, visit your repo's landing page and select "manage topics."