Deep Learning - Plain Version
Prof. Dr.-Ing. Andreas MaierDeep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition, and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises:
(multilayer) perceptron, backpropagation, fully connected neural networks
loss functions and optimization str... more
| Publishes | Daily | Episodes | 65 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Category | Education | ||||
Listen to this Podcast
Latest Episodes
Deep Learning - Known Operator Learning Part 3
In this video, we show how known operator learning can be applied to computed tomography.
Further Reading:
A gentle Introduction to Deep Learning
Deep Learning - Graph Deep Learning Part 2
In this video, we demonstrate how to go from spectral to spatial domain in graphs.
Further Reading:
A gentle Introduction to Deep Learning
References
[1]: Kipf, Thomas N., and Max Welling. "Semi-supervi... more
Deep Learning - Known Operator Learning Part 4
This is the final video of the class in which we present more applications of known operator learning. Furthermore, the video also contains my personal interpretation of where the field is heading and w... more
Deep Learning - Graph Deep Learning Part 1
In this video, we introduce spectral representations of graphs.
Further Reading:
A gentle Introduction to Deep Learning
Key Facts
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Apple Podcasts | #235 |  New Zealand/Education |
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