Limitations of Deep Nets for Computer Vision - a podcast by Ben Jaffe and Katie Malone

Deep neural nets have a deserved reputation as the best-in-breed solution for computer vision problems. But there are many aspects of human vision that we take for granted but where neural nets struggle—this episode covers an eye-opening paper that summarizes some of the interesting weak spots of deep neural nets.

Relevant links: https://arxiv.org/abs/1805.04025

Further episodes of Linear Digressions

Further podcasts by Ben Jaffe and Katie Malone

Website of Ben Jaffe and Katie Malone