Courses at KU
Courses at KU
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[STAT433] Statistical Modeling for Deep Learning
2023-Fall
[STAT436] Stochastic Processes and Sampling Technique for Reinforcement Learning (Introduction to RL) [homepage]
2023-Spring
[STAT619] Advanced Statistical Reinforcement Learning [homepage]
2023-Spring
Courses at UNIST
Courses at UNIST
[MGE511] Introduction to Deep Learning [syllabus]
Lecture 4: Optimization Algorithms [slide1] [slide2] [video1] [video2]
Lecture 5: Deep Learning Computation w/ PyTorch Tutorial [slide] [video1] [video2]
Lecture 6: Convolutional Neural Networks [slide1] [slide2] [video1] [video2]
Lecture 7: Modern Convolutional Neural Networks [slide] [video1] [video2]
[AI502/IE408] Principles of Deep Learning
2022-Fall
[AI707] Deep Reinforcement Learning
2021-Spring
2022-Spring
[AI512/IE514] Reinforcement Learning [homepage]
2020-Fall
2021-Fall
[IE470/IE551] Deep Generative Model and MAB/BO [homepage]
2021-Fall : KAIST-UNIST 공동교과목 with Prof. Moon, Il-Chul
[AI722] Causal Learning & Explainable AI
2020-Fall
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