Training Deep Visual Networks Beyond Loss and Accuracy Through a Dynamical Systems Approach

Hai La Quang, Hassan Ugail, Newton Howard +3

Deep visual recognition models are usually trained and evaluated using metrics such as loss and accuracy. While these measures show whether a model is improving, they reveal very l…