2 - FAU MoD Course (2/5): Frequency Principle/Spectral Bias [ID:57604]
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Teil einer Videoserie :
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Dauer
01:43:23 Min
Aufnahmedatum
2025-05-05
Hochgeladen am
2025-05-06 07:37:48
Sprache
en-US
Date: Fri. – Thu. May 2 – 8, 2025
FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
Session 2: Frequency Principle/Spectral Bias
Speaker: Prof. Dr. Yaoyu Zhang
Affiliation: Institute of Natural Sciences & School of Mathematical Sciences, Shanghai Jiao Tong University
FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
Session 2: Frequency Principle/Spectral Bias
Speaker: Prof. Dr. Yaoyu Zhang
Affiliation: Institute of Natural Sciences & School of Mathematical Sciences, Shanghai Jiao Tong University
Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
SEE MORE: https://go.fau.de/1bd–
Overall, this course serves as a gateway to the vibrant field of deep learning theory, inspiring participants to contribute fresh perspectives to its advancement and application.
Session Titles:
1. Mysteries of Deep Learning
2. Frequency Principle/Spectral Bias
3. Condensation Phenomenon
4. From Condensation to Loss Landscape Analysis
5. From Condensation to Generalization Theory
1. Mysteries of Deep Learning
2. Frequency Principle/Spectral Bias
3. Condensation Phenomenon
4. From Condensation to Loss Landscape Analysis
5. From Condensation to Generalization Theory
SEE MORE: https://go.fau.de/1bd–
Tags
FAU
FAU MoD
FAU MoD Course
deep learning
Bias
Frequency
artificial intelligence