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KAIST 기계공학과
KAIST 기계공학과
  • Type MOOC course
  • Period Always open
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Not Issued

Instructor Introduction

  • KAIST 기계공학과

Lecture plan

강의
  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

Additional Info

* 2020년 가을학기에 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.