Author: Charles H Martin, PhD

Machine Learning and AI for the Lean Start Up My recent talk at the French Tech Hub Startup Accelerator

What is the purpose of a theory ?  To explain why something works.  Sure.  But what good is a theory (i.e VC) that is totally

We can learn a lot about Why Deep Learning Works by studying the properties of the layer weight matrices of pre-trained neural networks.   And, hopefully,

Power Law Distributions in Deep Learning In a previous post, we saw that the Fully Connected (FC) layers of the most common pre-trained Deep Learning

Why Does Deep Learning Work ?    If we could get a better handle on this, we could solve some very hard problems in Deep Learning. A

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