Скачать с ютуб Stanford CS330 I Unsupervised Pre-Training:Contrastive Learning l 2022 I Lecture 7 в хорошем качестве

Stanford CS330 I Unsupervised Pre-Training:Contrastive Learning l 2022 I Lecture 7

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu​ Chelsea Finn Computer Science, PhD This Lecture: Unsupervised representation learning for few-shot learning Part I: Contrastive learning Part II (next time): Reconstruction-based methods Relation to meta-learning. Goals for the lecture: - Understand contrastive learning: intuition, design choices, how to implement - How contrastive learning relates to meta-learning