Course 5 - Prof. Kutyniok

The Modern Mathematics of Deep Learning

Lectures

Lecture 1: Shearlets: From Theory to Applications

[Here is the video for lecture 1]

[Here is the deck of slides]

Lecture 2: Mathematical Foundations of Deep Neural Networks (Expressivity and Interpretability)

[Here is the video for lecture 2]

Here is the deck of slides

Lecture 3: Deep Learning, Inverse Problems, and Sparse Regularization

[Here is the video for lecture 3]

[Here is the deck of slides]

Lecture 4: Deep Learning meets Partial Differential Equations

Teaching aid

The modern mathematics of deep learning.

Praticals/tutorials

Session 1: Intro to ShearLab and image denoising. (2021/07/27, 11am)

Recording of the main session by Jean-Luc can be viewed here.

Session 2: Image inpainting: a variational approach. (2021/07/28, 2pm)

Solutions to the handwritten exercises can be found here and here.

A suggested solution to the programming notebook can be found here (it doesn't not contain the solution to the l1 problem).

Recording of the main session for practical 2 can be viewed here.

Session 3: Transfer learning for visual recognition. (2021/07/29, 2pm). The recording of the main session was done in two parts, part 1 and part 2.

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