Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 1 - Introduction & Overview.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 2 - Multi-Task & Meta-Learning Basics.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 3 - Optimization-Based Meta-Learning.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 4 - Non-Parametric Meta-Learners.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 5 - Bayesian Meta-Learning.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 6 - Reinforcement Learning Primer.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 7 - Kate Rakelly (UC Berkeley).
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 8 - Model-Based Reinforcement Learning.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 9 - Lifelong Learning.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs).
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 11 - Sergey Levine (UC Berkeley).
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 12 - Frontiers and Open Challenges.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Student Literature Review 1.
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Student Literature Review 2.
Stanford Online
Get personalized course recommendations, track subjects and courses with reminders, and more.
