Are your models over-trained ? The weightwatcher tool can detect the signatures of overtraining in specific layers of a pre/trained Deep Neural Networks. In the
Author: Charles H Martin, PhD
Machine Learning Enthusiast and Consultant
Simpson’s Paradox and Deep Learning Metrics with Weightwatcher
What is WeightWatcher ? The WeightWatcher tool is an open-source python package that can be used to predict the test accuracy of a series similar
Why WeightWatcher Works
I am frequently asked, why does weightwatcher work ? The weightwatcher tool uses power law fits to model the eigenvalue density of weight matrices of
WeightWatcher: Empirical Quality Metrics for Deep Neural Networks
We introduce the weightwatcher (ww) , a python tool for a python tool for computing quality metrics of trained, and pretrained, Deep Neural Netwworks. pip
Towards a new Theory of Learning: Statistical Mechanics of Deep Neural Networks
Introduction For the past year or two, we have talked a lot about how we can understand the properties of Deep Neural Networks by examining
This Week in Machine Learning and AI: Implicit Self-Regularization
Big thanks to and the team at This Week in Machine Learning and AI for my recent interview: https://twimlai.com/meetups/implicit-self-regularization-in-deep-neural-networks/
