• 
  KAIST 기계공학과

1. Chapter 1
   1. AI in ME Intro _★필수 확인★
   1. 2.1 카이스트 기계과의 AI in Capstone Design 사례
2. Chapter 2
   1. 2.2 Overview of Machine Learning 머신러닝 개요
   1. 2.3 Basics of Neural Net 신경망 기초
3. Chapter 3
   1. 3.1 Intro to CNN
   1. 3.2 Intro to RNN-LSTM
   1. 3.3 Intro to RL-DQN
   1. 3.4 Review of FCNN-CNN-DQN
4. Chapter 4
   1. 4.1 Intro to Biomechanics 생체역학 개요
   1. 4.2 Prediction of Human Walking using Machine Learning
5. Chapter 5
   1. 5.1 AI for robot control 1 - Problem & Abstraction
   1. 5.2 AI for robot control 1 - Formulation 1
   1. 5.3 AI for robot control 1 - Formulation 2
   1. 5.3 AI for robot control 1 - Value iteration
6. Chapter 6
   1. 6.1 AI for robot control 2 - Problem
   1. 6.2 AI for robot control 2 - Parameterized policy
   1. 6.3 AI for robot control 2 - Policy gradient theorem
   1. 6.4 AI for robot control 2 - Training the value function

* 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.