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Tag: Deep Learning

WeightWatcher new feature: fix_fingers=’clip_xmax’

WeightWatcher 0.7 has just been released, and it includes the new and improved advanced feature for analyzing Deep Neural Networks … More

Deep Learning, Deep Neural Networks

WeightWatcher 0.7: March 2023

First, let me say thanks to all the users in our great community — we have reached over 93K downloads … More

Deep Learning, Deep Neural Networks

Deep Learning and Effective Correlation Spaces

AI has taken the world by storm. With recent advances like AlphaFold, Stable Diffusion, and ChatGPT, Deep Neural Networks (DNNs) … More

AI, Artifical Intelligence, Deep Learning, Deep Neural Networks

Why WeightWatcher Works

I am frequently asked, why does weightwatcher work ? The weightwatcher tool uses power law fits to model the eigenvalue … More

Deep Learning, machine learning

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 … More

AI, DATA SCIENCE, Deep Learning, KERAS, machine learning, NLP, PYTORCH, TENSORFLOW

Heavy Tailed Self Regularization in Deep Neural Nets: 1 year of research

My talk at ICSI-the International Computer Science Institute at UC Berkeley. ICSI is a leading independent, nonprofit center for research … More

AI, Deep Learning, machine learning, UC Berkeley

Why Deep Learning Works II: the Renormalization Group

Deep Learning is amazing.  But why is Deep Learning so successful?  Is Deep Learning just old-school Neural Networks on modern … More

Deep Learning

Why does Deep Learning work?

Why does Deep Learning work? This is the big question on everyone’s mind these days.  C’mon we all know the … More

Deep Learning

Foundations: The Partition Function.

We are going to examine the Partition function that arises in Deep Learning methods like Restricted  Boltzmann Machines. We take … More

Deep Learning, machine learning
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