Lectures
2022 Spring, 2023 Spring @ UNIST: EE233 Electrical Engineering Programming
2022 Spring, 2023 Spring @ UNIST: EE233 Electrical Engineering Programming
It covers basic programming tools for electrical engineering (C++).
2021 Fall, 2022 Fall, 2023 Fall @ UNIST: AI702 Meta & Multi-task Learning
2021 Fall, 2022 Fall, 2023 Fall @ UNIST: AI702 Meta & Multi-task Learning
It covers various kinds of algorithms for meta & multi-task learning and their underlying theories.
We will consider machine learning algorithms for capturing generalization along varying tasks.
2021 Spring @ UNIST: ITP117 AI Programming II
2021 Spring @ UNIST: ITP117 AI Programming II
It covers from basic mathematics and programming to deep learning architectures such as CNN and RNN.
2021 Spring @ UNIST: EE233 Electrical Engineering Programming
2021 Spring @ UNIST: EE233 Electrical Engineering Programming
It covers basic programming tools for electrical engineering (C++).
I will cover the second half of the course.
2020 Fall @ UNIST: ITP117 AI Programming II
2020 Fall @ UNIST: ITP117 AI Programming II
Contents: It covers from basic mathematics and programming for machine learning algorithms to deep learning architectures such as CNN and RNN.
For the 2020 fall semester, I taught from the beginning to regression and classification method parts: