Stanford CS330 Deep Multi-Task & Meta Learning - Multi-Task Learning Basics I 2022 I Lecture 2
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai
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https://cs330.stanford.edu/
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Chelsea Finn
Computer Science, PhD
Multi-Task Learning
Problem statement
Models, objectives, optimization
Challenges
Case study of real-world multi-task learning
Goals for by the end of lecture:
Understand the key design decisions when building multi-task learning systems
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