A theoretical framework for deep and locally connected ReLU network

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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METHOD TYPE
ReLU
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