A theoretical framework for deep locally connected ReLU network

28 Sep 2018 Yuandong Tian

Understanding theoretical properties of deep and locally connected nonlinear network, such as deep convolutional neural network (DCNN), is still a hard problem despite its empirical success. In this paper, we propose a novel theoretical framework for such networks with ReLU nonlinearity... (read more)

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