Скачать с ютуб Stanford CS330 Deep Multi-Task & Meta Learning - Multi-Task Learning Basics I 2022 I Lecture 2 в хорошем качестве

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 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 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