FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory [SerienID : 4272]

Date: Fri. – Thu. May 2 – 8, 2025
FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
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

 

SEE MORE: https://go.fau.de/1bd–

www.mod.fau.eu

 

FAU
FAU MoD
Deep Learning,
FAU MoD Course
DL

Semester

Sommersemester 2025

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aktualisiert

2025-10-08 10:29:00

Abonnements

2

  • # 1
    Offener Zugang
    FAU MoD Course (1/5): Mysteries of Deep Learning
    Prof. Dr. Yaoyu Zhang
    2025-05-02 Sommersemester 2025
  • # 2
    Offener Zugang
    FAU MoD Course (2/5): Frequency Principle/Spectral Bias
    Prof. Dr. Yaoyu Zhang
    2025-05-05 Sommersemester 2025
  • # 3
    Offener Zugang
    FAU MoD Course (3/5): Condensation Phenomenon
    Prof. Dr. Yaoyu Zhang
    2025-05-06 Sommersemester 2025
  • # 4
    Offener Zugang
    FAU MoD Course (4/5): From Condensation to Loss Landscape Analysis
    Prof. Dr. Yaoyu Zhang
    2025-05-07 Sommersemester 2025
  • # 5
    Offener Zugang
    FAU MoD Course (5/5): From Condensation to Generalization Theory
    Prof. Dr. Yaoyu Zhang
    2025-05-08 Sommersemester 2025