Episode 41: How can deep neural networks reason

Episode 36 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Episode 41: How can deep neural networks reason" was published on July 31, 2018 and runs 18 minutes.

July 31, 2018 ·18m · Data Science at Home

Summary

Today’s episode  will be about deep learning and reasoning. There has been a lot of discussion about the effectiveness of deep learning models and their capability to generalize, not only across domains but also on data that such models have never seen. But there is a research group from the Department of Computer Science, Duke University that seems to be on something with deep learning and interpretability in computer vision.   References Prediction Analysis Lab Duke University https://users.cs.duke.edu/~cynthia/lab.html This looks like that: deep learning for interpretable image recognition https://arxiv.org/abs/1806.10574

Episode Description