I am excited to say that our SPM special issue, part 1, on the Mathematics of Deep Learning, has now been published in ieee explore.
As we said in our guest editorial, “The aim of this special issue is to capture some of the salient points of contact between the SP and DL disciplines so that a mathematical picture of the key questions and challenges ahead begins to emerge.” The eight papers in this part of the issue all display these contact points beautifully: from sparsity to Kalman filtering to probability.
SPM is a venue that provides tutorial-like material on important signal processing topics. I hope you will read the issue and share the material with your junior graduate students.
