
Instructor Introduction
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KAIST 기계공학과
Lecture plan
강의
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Chapter 1
- AI in ME Intro _★필수 확인★
- 2.1 카이스트 기계과의 AI in Capstone Design 사례
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Chapter 2
- 2.2 Overview of Machine Learning 머신러닝 개요
- 2.3 Basics of Neural Net 신경망 기초
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Chapter 3
- 3.1 Intro to CNN
- 3.2 Intro to RNN-LSTM
- 3.3 Intro to RL-DQN
- 3.4 Review of FCNN-CNN-DQN
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Chapter 4
- 4.1 Intro to Biomechanics 생체역학 개요
- 4.2 Prediction of Human Walking using Machine Learning
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Chapter 5
- 5.1 AI for robot control 1 - Problem & Abstraction
- 5.2 AI for robot control 1 - Formulation 1
- 5.3 AI for robot control 1 - Formulation 2
- 5.3 AI for robot control 1 - Value iteration
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Chapter 6
- 6.1 AI for robot control 2 - Problem
- 6.2 AI for robot control 2 - Parameterized policy
- 6.3 AI for robot control 2 - Policy gradient theorem
- 6.4 AI for robot control 2 - Training the value function
Additional Info
* 교수님들의 일정으로 인해, 2020년 겨울학기에 콘텐츠 편집 작업을 완료하여 2021년 봄학기에 AI의 기계공학 연구분야 적용 사례를 FULL로 보실 수 있습니다. 
** 미리 수강신청 해주시면 안내메일을 드릴 예정입니다. 
*** 현재는 티저 형태의 일부 영상만 올려두어, 이수 활동 및 수료증을 제공하지 않습니다.