AI Algorithm to tune HyperParameters
Abe Alba
When Developing Convolutional Neural Networks one of the hardest aspects is the hyperparameter configuration. While working in the medical industry they required extremely accurate results so to add to the fine-tuning of the model I worked with another engineer to develop a genetic algorithm to return the best hyperparameters through evolution theory where the algorithm would evolve after each batch run.
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Posted Jan 5, 2024
Worked on developing a self-evolving genetic algorithm to fine-tune Neural Network hyperparameters!
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