Transfer Learning - Models - Lecture 18

Explore transfer learning techniques in this 86-minute lecture from MIT's Deep Learning course, where you'll learn about fine-tuning pre-trained models, implementing linear probes for feature evaluation, understanding knowledge distillation methods, and working with foundation models to leverage existing knowledge for new tasks and domains.