An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants

24 Dec 2019SiQi ZhouAngela P. Schoellig

Deep neural networks (DNNs) have emerged as a popular mathematical tool for function approximation due to their capability of modelling highly nonlinear functions. Their applications range from image classification and natural language processing to learning-based control... (read more)

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