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arXiv · 2111.15133

LossPlot: A Better Way to Visualize Loss Landscapes

Robert Bain·Mikhail Tokarev·Harsh Kothari·Rahul Damineni
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Abstract

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.

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Robert Bain, Mikhail Tokarev, Harsh Kothari, Rahul Damineni. 2021-11-30. LossPlot: A Better Way to Visualize Loss Landscapes. https://arxiv.org/abs/2111.15133

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