Why Deep Learning Works: Self Regularization in DNNs Presented at UC Berkeley / NERSC Jun 8, 2018 Empirical results, using the machinery of Random Matrix

Rethinking Generalization: the Google paper Last year, ICLR 2017, a very interesting paper came out of Google claiming that Understanding Deep Learning Requires Rethinking Generalization

Please enjoy my video presentation on Geoff Hinton’s Capsule Networks.  What they are, why they are important, and how they are implemented (in Keras) …

My Labor Day Holiday Blog: for those on email, I will add updates, answer questions,  and make corrections over the next couple weeks.  Thanks for

Hinton introduced Free Energies in his 1994 paper, Autoencoders, minimum description length, and Helmholtz Free Energy This paper, along with his wake-sleep algorithm, set the foundations

It’s always fun to be interviewed. Check out my recent chat with Max Mautner, the Accidental Engineer http://theaccidentalengineer.com/charles-martin-principal-consultant-calculation-consulting/