⭐️ Why Deep Learning models are so easy to fool

www.nature.com

These problems are more concerning than idiosyncratic quirks in a not-quite-perfect technology, […] the most striking illustration that DNNs are fundamentally brittle: brilliant at what they do until, taken into unfamiliar territory, they break in unpredictable ways.

Albeit the fact that deep neural networks are extremely good at finding correlations/patterns in massive amounts of data, we’re discovering they’re far from perfect and suffer serious flaws.

Read more...
Linkedin

Want to receive more content like this in your inbox?