Energy-based Models 3

#Energy-based Learning #Principle of Max Entropy #Boltzmann Machine

In the past two meetups, we have been discussing EBM from a computer scientist’s perspective.

In this discussion, we will discuss chapter XV of Mehta P, Bukov M, Wang C-HH, Day AGRR, Richardson C, Fisher CK, et al. A high-bias, low-variance introduction to Machine Learning for physicists. Phys Rep. 2018;810: 122. doi:10.1016/j.physrep.2019.03.001

Planted: 2021-04-24 by NeuronStar;

: 2021-05-15T14:30:00 - 2021-05-15T16:00:00 (CET) : Lark (Please join our skype group listed in the introduction page for more info) : More details on page Conditional Probability Estimation

References:

Pytorch Deep Learning Lectures
Pytorch Deep Learning Slides
A high-bias, low-variance introduction to Machine Learning for physicists

Current Ref:

cpe/12.energy-based-learning-3.md