In the next few posts, I am going to discuss how to use the generalization metrics included in the open-source…
Model Monitoring with WeightWatcher: Data-Free DEEP LEARNING Diagnostics
Weighwatcher is an open-source Model Monitoring tool that provides Data-Free Diagnostics for production-quality Deep Neural Networks (DNNs). It. can tell…
How to tell if you have trained your Model with enough data ?
Deep Neural Networks (DNN) require a lot of training data. Even fine-tuning a model can require a lot. A LOT.…
is your model overtrained ?
Are your models over-trained ? The weightwatcher tool can detect the signatures of overtraining in specific layers of a pre/trained…
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…
Why WeightWatcher Works
I am frequently asked, why does weightwatcher work ? The weightwatcher tool uses power law fits to model the eigenvalue…
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…
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…
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: Implicit Self-Regularization…
SF Bay ACM Talk: Heavy Tailed Self Regularization in Deep Neural Networks
My Collaborator did a great job giving a talk on our research at the local San Francisco Bay ACM Meetup…
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