Research Seminar "Deep Learning"

2023/2024

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Big Data and Information Retrieval School

Course type:

Compulsory course

When:

2 year, 2 module

Instructor

Sanochkin, Yuriy

Course Syllabus

Abstract

In this course we discuss a variety of Deep Learning scientific papers and practice understanding, presenting and reviewing them. We cover papers in different areas of DL such as Natural Language Processing and Computer vision and move from basic to more complicated ideas and more recent developments. The course programme is different for two “tracks”: the deep learning one (for students who have taken the introduction to deep learning course) and the math track. The deep learning track covers more complex papers which require the understanding of basic neural network architectures and traning process. The math track focuses on the basic consepts and tries to introduce them on examples of fundamental papers and overviewing blog posts.