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- Jung Yeon Lee: @curieuxjy
- Seunghyun Oh: @ooshyun
- castleflag: @CastleFlag
강의 사이트: https://hanlab.mit.edu/courses/2023-fall-65940
- 목표: 강의 영상 리뷰 및 Lab 실습 완료
- Github 정리 자료 Archiving (참고: GNN Study)
참고강의:
- ECE 5545: Machine Learning Hardware and Systems
- MIT 6.S965 Fall 2022 TinyML and Efficient Deep Learning Computing
- https://hanlab.mit.edu/courses/2022-fall-6s965
- 2023년도 강의에서 부족한 설명이나 내용 보충할 때 참고
- Lec1/2와 Lab0은 제외
- 강의를 듣고 1명씩 돌아가면서 강의 복습 recap 발표
- 다른 사람들은 질문/디스커션 토픽 가져오기
- 주 1회 (약 16주 - 4개월 이내 완료 목표)
- Lecture 3: Pruning and Sparsity (Part I) @ooshyun
- Lecture 4: Pruning and Sparsity (Part II) @curieuxjy
- Lab 1 @CastleFlag
- Lecture 5: Quantization (Part I) @ooshyun
- Lecture 6: Quantization (Part II) @curieuxjy
- Lab 2 @CastleFlag
- Lecture 7: Neural Architecture Search (Part I) @ooshyun
- Lecture 8: Neural Architecture Search (Part II) @curieuxjy
- Lab 3 @CastleFlag
- Lecture 9: Knowledge Distillation @ooshyun
- Lecture 10: MCUNet: TinyML on Microcontrollers @curieuxjy
- Lecture 11: TinyEngine and Parallel Processing @CastleFlag
- Lecture 12: Transformer and LLM (Part I) @ooshyun
- Lecture 13: Transformer and LLM (Part II) @curieuxjy
- Lecture 14: Vision Transformer @CastleFlag
- Lab 4 @ooshyun
- Lecture 15: GAN, Video, and Point Cloud @curieuxjy
- Lecture 16: Diffusion Model @CastleFlag
- Lecture 17: Distributed Training (Part I) @ooshyun
- Lecture 18: Distributed Training (Part II) @curieuxjy
- Lab 5 @CastleFlag
- Lecture 19: On-Device Training and Transfer Learning @ooshyun
- Lecture 20: Efficient Fine-tuning and Prompt Engineering @curieuxjy
- Lecture 21: Basics of Quantum Computing @CastleFlag
- Lecture 22: Quantum Machine Learning @ooshyun
- Lecture 23: Noise Robust Quantum ML @curieuxjy