Explainability in Deep Neural Networks
About this blog post series The wild success of Deep Neural Network (DNN) models in a variety of domains has created considerable excitement in the machine learning community. Despite this success, a deep understanding of why DNNs perform so well, and whether their performance is somehow brittle, has been lacking. Two recent developments hold promise in shedding light on the behavior of DNNs, and could point the way to improving deep learning models
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