This is a followup to a previous post: DON’T PEEK: DEEP LEARNING WITHOUT LOOKING … AT TEST DATA The idea…suppose we want to compare 2
Author: Charles H Martin, PhD
Machine Learning Enthusiast and Consultant
Machine Learning and AI for the Lean Start Up
Machine Learning and AI for the Lean Start Up My recent talk at the French Tech Hub Startup Accelerator
Don’t Peek: Deep Learning without looking … at test data
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
Rank Collapse in Deep Learning
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 Laws in Deep Learning 2: Universality
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
Power Laws in 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
