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teaching:wt23:vl:af [2023/01/30 12:25] (current) ipa [Exercise Sheets:] |
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| Neural ODEs constitute a state-of-the-art approach to the design of deep networks for machine learning. The lecture introduces various basic topics that are essential for understanding the research literature and starting own research. The target audience comprises students interested in mathematical aspects of neural ODEs and deep learning. Assignment flows form a subclass of neural ODEs derived using information geometry. | Neural ODEs constitute a state-of-the-art approach to the design of deep networks for machine learning. The lecture introduces various basic topics that are essential for understanding the research literature and starting own research. The target audience comprises students interested in mathematical aspects of neural ODEs and deep learning. Assignment flows form a subclass of neural ODEs derived using information geometry. | ||
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| + | ==== Exercise Sheets: ==== | ||
| + | [[https://heibox.uni-heidelberg.de/f/54fd8dae3cab49adab5a/|Exercise 1]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/4a9a7094d1544396a201/|Exercise 2]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/07c76de3683844fbbdf4/|Exercise 3]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/62adfcc5c5034d298d40/|Exercise 4]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/06c5890bb4284c70a17e/|Exercise 5]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/5f5fc6a3a6d24750bdcb/|Exercise 6]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/ada774c27113462a81b7/|Exercise 7]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/7ccb0fcdcba145e8ac51/|Exercise 8]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/f566b5edc45344fb9848/|Exercise 9]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/f17ae3332eab48b185d9/|Exercise 10]] \\ | ||
| + | [[https://heibox.uni-heidelberg.de/f/c91b42129fe44bc78f41/|Exercise 11]] \\ | ||
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