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This website is the written documentation of the Seminar Principles of Data Mining and Learning Algorithms – „Selected Topics from Deep Learning“ MA-INF 4209, taught at the University of Bonn during the Winter Term 2020/2021 by Florian Seiffarth & Linara Adilova.

The seminar is based on the book „Deep Learning“ by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Below, you find the current state of the write-ups of our sessions.

Session Presenter Book Chapter Link Screencast / Slides
1 Linara Adilova - - Slides
2 Anna Meschede, Jan Polster 4.3-4.5, 6.2, 6.5 Optimization Methods Slides
3 Alexander Zorn, Karim Baidar 7.4 - 7.9, 7.12-7.13 Regularization methods Slides
4 Penelope Mueck, Siba Mohsen 8.1-8.4 Training Optimization 1 Slides
5 Sravya Reddy, Felix Müller 8.5 - 8.7 Training Optimization 2 Slides
6 Ani Karapetyan, Nils Becker 9.1 - 9.8 Convolutional Networks Slides
7 Sheikh Mastura Farzana, Gular Shukurova 10.1-10.2, 10.7, 10.10 Recurrent Neural Networks Slides
8 Baraa Hassan, Keanu Buschbacher 11.1 - 11.6 Practical Methodology Slides