Rahul Damineni

1paper

1 Paper

LGNov 30, 2021
LossPlot: A Better Way to Visualize Loss Landscapes

Robert Bain, Mikhail Tokarev, Harsh Kothari et al.

Investigations into the loss landscapes of deep neural networks are often laborious. This work documents our user-driven approach to create a platform for semi-automating this process. LossPlot accepts data in the form of a csv, and allows multiple trained minimizers of the loss function to be manipulated in sync. Other features include a simple yet intuitive checkbox UI, summary statistics, and the ability to control clipping which other methods do not offer.