Why Deep Learning Works: Self Regularization in DNNs An early talk describing details in this paper Implicit Self-Regularization in Deep Neural Networks: Evidence from Random

I just got back from ICLR 2019 and presented 2 posters,  (and Michael gave a great talk!) at the Theoretical Physics Workshop on AI.  To

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/