Exposing logic errors in deep neural networks
In a new approach meant to brings transparency to self-driving cars and other self-taught systems, researchers at Columbia and Lehigh universities have come up with a way to automatically error-check the thousands to millions of neurons in a deep learning neural network.
Their tool — DeepXplore — feeds confusing, real-world inputs into the ...
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