Example of Differential Testing for Deep Learning Systems (IMAGE)
Caption
A debugging tool developed by researchers at Columbia and Lehigh generates real-world test images meant to expose logic errors in deep neural networks. The darkened photo at right tricked one set of neurons into telling the car to turn into the guardrail. After catching the mistake, the tool retrains the network to fix the bug.
Credit
Columbia Engineering
Usage Restrictions
None
License
Licensed content