Shypd.aiThe largest open index of AI toolsWeightWatcher is an open-source diagnostic tool for analyzing Deep Neural Networks (DNNs). It predicts model accuracy and identifies issues without needing access to training or test data, using insights from Random Matrix Theory.
Trending
Also listed in
About
WeightWatcher (WW) is an open-source, diagnostic tool designed to analyze Deep Neural Networks (DNNs) and predict their accuracy. It operates without requiring access to training or even test data, leveraging theoretical research into Heavy-Tailed Self-Regularization (HT-SR), Random Matrix Theory (RMT), Statistical Mechanics, and Strongly Correlated Systems. Users can analyze pre/trained pyTorch, Keras, and other DNN models (Conv2D and Dense layers), monitor model layers for over-training or over-parameterization, and predict test accuracies across different models. The tool also helps detect potential problems when compressing or fine-tuning pretrained models and provides layer warning labels like 'over-trained' or 'under-trained'. It offers various generalization metrics and advanced diagnostics like correlation trap analysis and experimental early stopping detection.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
