ECE503(00) 패턴인식특론

Spring 2019

Professor Sanghoon Sull
School of  Electrical Engineering, Korea University

개요: We will cover a variety of advanced topics on deep learning.

Objective: Learning knowledge and skills on deep learning

Class lectures: 수(5-6)

Office hour:

Instructor: 설상훈, 공학관 404, 3290-3244, sull@korea.ac.kr

TA: 임재영, 공학관 441, 3290-3805, jyim@mpeg.korea.ac.kr

Course materials: Selected topics from NIPS 2018 Tutorials

Prerequisite: Machine learning, basics on deep learning

Grading: midterm (40%), final (40%), Homework (10%), attendance (10%)

Reference:

• CVM (Computer Vision Models, Prince)
• BRML (Bayesian Reasoning and Machine Learning, Barber)
• PRML (Pattern Recognition & Machine Learning, Bishop)
• http://www.deeplearningbook.org/

Contents

Adversarial Robustness

Visualization

Unsupervised learning (Variational inference, ELBO, CPC)

GAN

VAE + GAN