As a preview to the book:
This series of lectures is almost
completely presented with life coding examples in Mathematica (Wolfram Inc.). The
course notes are all computational essays. Attendees will discover that
this is an ideal environment to study deep learning, and combine it with both
deep understanding of - and play interactively with - the underlying
And yes, we will do mathematics, and physics, and all will be explained visually and intuitively. The approach is focused on geometric deep learning, and deriving solid insights by exploiting first principles.
I also discuss modern insights in visual perception, the retinal connectome, and what seems to happen in the many layers of the visual system in the cortex.
Part of this course material is scheduled
into a forthcoming book by the tutor (Q1 2023).
All the Mathematica notebooks will be made available on this website, so all that is explained during the lectures can be studied at ease later on by doing it.
The course is suitable for beginners and experts in Deep Learning programming.