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Stanford CS330: Deep Multi-Task and Meta Learning

by Stanford Online · 14 videos

Total watch time

17h 44m

at 1× speed · exactly 17 hours, 43 minutes, 42 seconds at 1×

1×17h 43m 42s
1.25×14h 10m 58s
1.5×11h 49m 8s
1.75×10h 7m 50s
2×8h 51m 51s
Average video1h 15m 59s
Longest1h 24m 20s
Shortest48m 7s
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Videos (14)

17h 44m in total · tick what you've watched

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Videos to
Watched
1 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 1 - Introduction & Overview 48:07 2020-02-25
2 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 2 - Multi-Task & Meta-Learning Basics 1:17:43 2020-02-25
3 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 3 - Optimization-Based Meta-Learning 1:20:11 2020-02-25
4 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 4 - Non-Parametric Meta-Learners 1:06:53 2020-02-25
5 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 5 - Bayesian Meta-Learning 1:19:52 2020-02-25
6 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 6 - Reinforcement Learning Primer 1:17:22 2020-02-25
7 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 7 - Kate Rakelly (UC Berkeley) 1:07:27 2020-02-25
8 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 8 - Model-Based Reinforcement Learning 1:22:26 2020-02-25
9 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 9 - Lifelong Learning 1:23:26 2020-02-25
10 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs) 1:24:20 2020-02-25
11 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 11 - Sergey Levine (UC Berkeley) 1:23:25 2020-02-25
12 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 12 - Frontiers and Open Challenges 1:14:57 2020-02-25
13 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Student Literature Review 1 1:15:16 2020-04-14
14 Stanford CS330: Multi-Task and Meta-Learning, 2019 | Student Literature Review 2 1:22:17 2020-04-14

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Watch time: 17h 44m · 14 videos

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