Most deep learning projects require training multiple models in order to determine the perfect set of training parameters. Doing it manually requires a lot of time and effort and this is where new Adaptive Vision 5.1 features, Automatic Training & Model History, truly shine.

Automated Model Training

Automatic Training allows you to quickly specify different sets of training parameters, training all models automatically and generate a detailed report for each model. Model History, on the other hand, enables the user to quickly browse and manage all the previously trained models, switch between them as well as obtain a detailed comparison.

Model history window