Explore supervised and self-supervised transfer learning techniques using PyTorch Lightning in this comprehensive lecture from the NYU Deep Learning Fall 2020 course. Delve into practical implementations of supervised transfer learning with both PyTorch and Lightning, covering implementation and training aspects. Discover self-supervised transfer learning methods and compare generalization performance across different approaches. Gain valuable insights from speakers William Falcon and Alfredo Canziani as they guide you through this essential deep learning topic, concluding with a summary of key concepts and techniques.
Supervised and Self-Supervised Transfer Learning With PyTorch Lightning
Overview
Syllabus
– Week 10 – Practicum
– Supervised and self-supervised
transfer learning
– Supervised transfer learning
with PyTorch
– Supervised transfer learning
with Lightning – implementation
– Supervised transfer learning
with Lightning – training
– Self-supervised transfer learning
with Lightning
– Generalisation comparison
– Summary
Taught by
Alfredo Canziani
