[New post] Phil 9.18.21

pgfeldman posted: " WeightWatcher (WW): is an open-source, diagnostic tool for analyzing Deep Neural Networks (DNN), without needing access to training or even test data. It can be used to: analyze pre/trained pyTorch, Keras, DNN models (Conv2D and Dense layers)monitor m" New post on viztales Phil 9.18.21 by pgfeldman WeightWatcher (WW): is an open-source, diagnostic tool for analyzing Deep Neural Networks (DNN), without needing access to training or even test data. It can be used to: analyze pre/trained pyTorch, Keras, DNN models (Conv2D and Dense layers) monitor models, and the model layers, to see if they are over-trained or over-parameterized predict test accuracies across different models, with or without training data detect potential problems when compressing or fine-tuning pretrained models layer warning labels: over-trained; under-trained GPT Agents Finished extracting French, Chinese and Mexican reviews and ran the sentiment analyzer Finished creating the French, Chinese, and Mexican models (50k reviews, 6 epochs). Need to run them next I want to try WW (above) on the stars models and see what it says pgfeldman | September 18, 2021 at 6:29 am | Categories: Phil | URL: https://wp.me/p39twF-9lm Like Unsubscribe to no longer receive posts from viztales. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: http://viztales.com/2021/09/18/phil-9-18-21/ Thanks for flying with WordPress.com