Current tutorials include:
First, watch
- Stéphane Mallat 1: Mathematical Mysteries of Deep Neural Networks,
- Stéphane Mallat 2: Mathematical Mysteries of Deep Neural Networks.
Slides are stored here (part 1, part 2).
Then, study these tutorial notebooks to learn about the amazing scattering transform.
Seminal references include:
- Mallat (2012) [signal processing, functional analysis]
- Bruna & Mallat (2012) [signal processing, image recognition]
- Anden & Mallat (2014) [signal processing, audio classification]
- Allys et al (2019) [astrophysics]
- Regaldo-Saint Blancard et al (2021) [astrophysics]
- Morel et al (2022) [finance]
- Cheng et al (2023) [physics]
Very useful material include the PhD thesis of
Solves and builds upon tutorials found in:
Run on GPUs, if you can.
Useful ressource: deeplearning-math.github.io