Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation.

ISCAS, pp.1-5, (2018)

Cited by: 3|Views28
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Abstract:

Deep Neural Networks have emerged as state-of-the-art solutions for complex intelligence problems. DNNs derive their predictive power by learning from millions of training examples in either a supervised or semi-supervised fashion. As such, a critical aspect of the DNN system design procedure is the collection of large annotated training ...More

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