Welcome to the coding lab of our "Introduction to Machine Learning & Deep Learning" course!
The course is taught by Prof. Dr. Damian Borth and Prof. Dr. Lukas Gonon and will be supported by Dr. Konstantin Schürholt who will support the coding labs.
Happy Coding!
Your AIML teaching team
This table lists all coding lab notebooks and exercise notebooks:
| Date | Lab Number | Topic | Lab Notebook (MyBinder) | Lab Notebook (CoLab) |
|---|---|---|---|---|
| Tue, <Feb 25 | Lab 0 | Prerequisite |  |
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| Tue, Feb 25 | Lab 1 | Python 101: Jupyter Notebooks and Python Basics | |
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| Tue, Mar 4 | Lab 2 | Python 102: Numerical Math & Images | |
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| Tue, Mar 11 | no session | |||
| Tue, Mar 18 | Lab 3 | Machine Learning I (Naive Bayes) |
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| Tue, Mar 25 | Lab 4 | Machine Learning II (k Nearest-Neighbors) |
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| Tue, Apr 15 | Lab 5 | Machine Learning III (Unsupervised Learning) |
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| Self-Study | Lab 6 | Deep Learning I (Artificial Neural Nets) |
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| Tue, May 6 | Lab 7 | Deep Learning II (Recurrent Neural Nets) |
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| Tue, May 13 | Lab 8 | Deep Learning III (Convolutional Neural Nets) |
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