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Lec 08. Architectures: Transformers
Description
MIT 6.7960 Deep Learning, Fall 2024
Instructor: Phillip Isola
View the complete course: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8
Uploaded 11-02-26
This video introduces transformers, focusing on three key ideas: tokens, attention, and positional codes. It also explores how transformers relate to MLPs, GNNs, and CNNs as variations on common principles.
License: Creative Commons BY-NC-SA
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