Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs)
Jeff Clune (Uber AI Labs) Guest Lecture in Stanford CS330
http://cs330.stanford.edu/
To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html
To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
Видео Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs) канала stanfordonline
http://cs330.stanford.edu/
To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html
To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
Видео Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs) канала stanfordonline
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 5 - Bayesian Meta-Learning
ANML Learning to Continually Learn - Jeff Clune, OpenAI
"Uptime 15,364 days - The Computers of Voyager" by Aaron Cummings
Barbara Oakley: "Learning How to Learn" | Talks at Google
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 11 - Sergey Levine (UC Berkeley)
Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Stanford Seminar - Building the Smartest and Open Virtual Assistant to Protect Privacy
Lecture 5: Search 1 - Dynamic Programming, Uniform Cost Search | Stanford CS221: AI (Autumn 2019)
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 4 - Non-Parametric Meta-Learners
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 3 - Optimization-Based Meta-Learning
Lecture 1: Overview | Stanford CS221: AI (Autumn 2019)
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
Completing projects faster and smarter with Virtual Design and Construction
Generative Teaching Networks
Meta learning by Hugo
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 7 - Kate Rakelly (UC Berkeley)
The wonderful and terrifying implications of computers that can learn | Jeremy Howard
Understanding Knowledge Distillation in Neural Sequence Generation
Multitask Learning (C3W2L08)