Les Houches Lectures on Deep Learning at Large Infinite Width

09/04/2023
by   Yasaman Bahri, et al.
0

These lectures, presented at the 2022 Les Houches Summer School on Statistical Physics and Machine Learning, focus on the infinite-width limit and large-width regime of deep neural networks. Topics covered include various statistical and dynamical properties of these networks. In particular, the lecturers discuss properties of random deep neural networks; connections between trained deep neural networks, linear models, kernels, and Gaussian processes that arise in the infinite-width limit; and perturbative and non-perturbative treatments of large but finite-width networks, at initialization and after training.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset