He’s one of the Directors at Machine Learning Tokyo - MLT, a nonprofit organization and one of the biggest communities of ML engineers and practitioners in Japan. He has been an instructor and speaker at various Deep Learning-related workshops and talks in Tokyo where he currently lives. During that period he studied Industrial Engineering, received an MSc degree in Information and Communication Systems Engineering, and an MSc in Intelligent Information Systems among others. Before that, he carried out his internship at Fujitsu Labs where he worked on Computer Vision applications.ĭimitris studied Primary Education and worked as a primary school teacher for several years. The presenter and coordinator of the study series will be Dimitris Katsios. Dimitris is a Machine Learning Engineer at LPIXEL where he contributes to the development of Deep Learning assisted medical diagnosis tools. The material that will be used during the study sessions is based on the excellent Python notebooks provided by François Chollet: To get the most out of the sessions and the book we recommend having intermediate Python skills and a good understanding of general Machine Learning concepts. It covers many different fields of DL, from tabular data, image classification, segmentation, and generation to the use of Transformers in NLP. Starting with Machine Learning and DL basics and using simple examples and easy-to-follow code, it gets us to an advanced level of DL applications. The book covers a vast range of Deep Learning topics.

Join us on Meetup for the live tutorials.Īll sessions will be available on YouTube. The second edition of the popular 'Deep Learning with Python' book by François Cholletis out! In this study series, we will go through the chapters of the book, explain theory, run the code, answer questions and discuss various topics related to Deep Learning.

Deep learning francois chollet