Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models

<p dir="ltr">Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. While Particle Swarm Optimizatio...

Full description

Saved in:

Bibliographic Details
Main Author:	Saad Hameed (6488738) (author)
Other Authors:	Basheer Qolomany (16855527) (author), Samir Brahim Belhaouari (9427347) (author), Mohamed Abdallah (3073191) (author), Junaid Qadir (16494902) (author), Ala Al-Fuqaha (4434340) (author)
Published:	2025
Subjects:	Information and computing sciences Artificial intelligence Machine learning Mathematical sciences Applied mathematics Deep learning optimization PSO LLM machine learning hyper-parameter optimization Computational modeling Tuning Neurons Deep learning Convergence Large language models Computational efficiency Accuracy Predictive models Particle swarm optimization
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models

Similar Items