stanford 강의 정리한 글입니다.
(출처 : [Deep Multi-Task & Meta Learning - What is multi-task learning I 2022 I Lecture 1](Deep Multi-Task & Meta Learning - What is multi-task learning I 2022 I Lecture 1))

About Lecture

course website : www.cs330.stanford.edu

index

• 멀티태스킹 학습을 위한 현대적인 딥러닝
• PyTorch로 구현과 작동법 이해
• 만드는 방법에 관련된 간략한 설명

topic

• multi-task learning, transfer learning basics
• Meta-learning algorithms (black-box, optimization, metric)
• Advanced meta-learning topics
• Unsupervised pre-training for few-shot learning
• Domain adaptation & generalization
• Lifelong learning
• Open problems