Tea Time Talks 2023: Demystifying Why Larger Neural Networks Generalize Better with Khurram Javed

Tea Time Talks are back for another year. This summer lecture series, presented by Amii and the RLAI Lab at the University of Alberta, give researchers the chance to discuss early-stage ideas and prospective research. Join us for another series of informal 20-minute talks where AI leaders discuss the future of machine learning research.

This week's talk features Khurram Javed Phd student at University of Alberta, who discusses why larger neural networks tend to generalize better and how we can potentially exploit that knowledge to achieve better generalization with smaller models.

Like what you’re learning here? Take a deeper dive into the world of RL with the Reinforcement Learning Specialization, offered by the University of Alberta and Amii. Taught by Martha White and Adam White, this specialization explores how RL solutions help solve real-world problems through trial-and-error interaction, showing learners how to implement a complete RL solution from beginning to end. Enroll in this specialization now!