Celoústavní seminář: Brief Introduction to Deep Learning

Perex

BRIEF INTRODUCTION TO DEEP LEARNING
BASIC NOTIONS, BASIC PRINCIPLES, USE CASES & EXAMPLES

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Nowadays, deep learning (as a part of machine learning) is one of the most prominent topics in computer science with dozens of applications in many areas including image processing, natural language understanding, time series forecasting, etc. In this talk, we are going to revisit the basic principles of machine learning with the focus on deep learning approaches accompanied by appealing real-world examples arising from science, medicine, and industrial applications. Selected simple deep learning architectures will be presented along with the “source code equivalents“.

This seminar talk can be considered as “an overture” to a newly established Artificial intelligence (AI) club (series of deep learning workshops).

No preliminary knowledge of machine learning is required, familiarity with elementary linear algebra is an advantage.

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