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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 |