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IDS PhD-Teach-PhD Workshops 2022 - Introduction to Deep Learning Theory - Liu Fusheng

Автор: Institute of Data Science (IDS), NUS

Загружено: 2022-12-11

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Title: Introduction to Deep Learning Theory
Presenter: Liu Fusheng
Date : 21 September 2022

Abstract: Deep learning is an important subfield of machine learning that has witnessed tremendous advances in many areas, such as computer vision, speech recognition, machine translation, and game-playing programs. While the mathematical theory of deep learning has mostly lagged behind the practical advances, the field has given rise to a number of interesting perspectives distinct from classical learning theory. In this workshop, we will give a gentle introduction to some of these new theoretical ideas, and leverage some simple examples. Broadly, we will focus on three main aspects of deep learning: approximation, optimization, and generalization. This workshop is aimed at PhD students familiar with at least the basics of machine learning and the associated mathematical tools used (e.g., probability, optimisation, etc.).

IDS PhD-Teach-PhD Workshops 2022 - Introduction to Deep Learning Theory - Liu Fusheng

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