Compare/contrast various local rules that approximate gradient descent on a global learning cost function and how they are implemented in hardware. Eg electrical circuits that implement "coupled learning" to do supervised learning tasks on their own, without a processor. Seeking speakers!
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| Day | Time | Location |
|---|---|---|
| Tue, 07.05.2024 | 16:00 - 17:30 | Lecture Room |