Grüezi! 🖐️
Welcome to our GSERM course Deep Learning: Fundamentals and Applications, taught by Prof. Dr. Damian Borth. In this course, theoretical and practical hands-on coding lab sessions alternate to provide a better learning experience. 📚💻
The guided coding labs will be taught by Marco Schreyer. The Python programming, Machine Learning, and Deep Learning lab materials are available and accessible through this GitHub repository. 🐍🤖
Please use a laptop computer (not a tablet) to participate fully in the lab courses.
Viel Spass beim Programmieren! 🎉 (Happy Coding!)
- Lectures: Daily 09:15-12:30 CEST ⏰, at the SQUARE building, room Hilti 1, 11-1071 (1st floor).
- Labs 🧪: Daily 13:30-15:15 CEST, at the SQUARE building, room Hilti 1, 11-1071 (1st floor).
- Office Hours: Daily 16:00-17:00 CEST, please send us a corresponding invitation via mail 📬.
- Announcements: All course-related announcements 🔔 and questions will happen on Canvas 🎨.
Just like the timetable of the Swiss Federal Railways 🚞, the following table lists all lab sessions, including the launchers of the corresponding notebooks 📚 . Click on the corresponding launchers to start the notebooks in the respective cloud environment. We aim to upload each lab notebook the day before the lab respectively.
| Date | Lab | Topic | Description | Binder Notebook | Gesis Notebook | Colab Notebook |
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| < Mon, June 10th | Lab 00 | Prerequisite | Test Notebook |  |
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| < Mon, June 10th | Lab 01 | Prerequisite | Python Basics | |
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| < Mon, June 10th | Lab 02 | Prerequisite | Python Libraries | |
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| Mon, June 10th | Lab 03 | Machine Learning | (Naive) Bayes Theorem | |
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| Mon, June 10th | Lab 03 | Machine Learning | Support Vector Machines | |
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| Tue, June 11th | Lab 04 | Deep Learning | Artificial Neural Networks (ANNs) | |
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| Wed, June 12th | Lab 05 | Deep Learning | Convolutional Neural Networks (CNNs) | |
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| Wed, June 12th | Lab 06 | Deep Learning | Autoencoder Neural Networks (AENs) | |
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| Thu, June 13th | Lab 07 | Deep Learning | Recurrent Neural Networks (RNNs) | |
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| Thu, June 13th | Lab 08 | Deep Learning | Attention Neural Networks | |
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| Thu, June 14th | Lab 09 | Deep Learning | Generative Adversarial Networks (GANs) | |
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| < Fri, June 14th | - | Deep Learning | Assignment | |
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You can also board the train to the labs by launching all lab notebooks in either
Please don't hesitate to send us all your questions using the course mail address:
