In the next few posts, I am going to discuss how to use the generalization metrics included in the open-source weightwatcher tool. The goal is
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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 you if your model is
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. So how can you know
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 Deep Neural Networks. In the
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
