Massive Hyperparameter Searches on Deep Neural Networks Using Leadership Systems

PI Pierre Baldi, University of California, Irvine
Project Description

This project will run massive hyperparameter searches on deep neural networks to investigate the fundamentals of deep learning algorithms, helping to improve the use of deep learning on leadership computing systems. The research team also seeks to advance high-energy physics research by applying deep learning methods to improve the detection of exotic particles at CERN’s Large Hadron Collider.