Repository devoted to the technical tutorial I held at DataScience 5.0 conference.
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PyTorch is one of the most popular deep learning frameworks in the field of ML today. We will look to explore it, learn fundamentals and solve interesting challenges in it. Participants will also get to solve tasks prepared by the lecturer.
Nemanja Mićović is a teaching assistant and PhD student at Faculty of Mathematics that is extremely passionate about teaching and learning. His PhD is primarily focused in the field of Deep Learning. He also works as an AI consultant for the company Lebo Apps GmbH and is the founder and main organizer of RISK (risk.matf.bg.ac.rs) - organization for programming at Faculty of Mathematics.
- Location: Startit Center Belgrade
- Date: 16th of November 2019, 12:45 - 15:45
Knowledge of Python is required, and basics of Machine learning will greatly help you follow the tutorial. That means knowing what classification and regression are, knowing common loss functions and similar.
Consider completing the following courses:
- Udacity: Intro to Deep Learning with PyTorch
- Coursera: Deep Learning specialization