A Geometric Framework for Convolutional Neural Networks

15 Aug 2016Anthony L. CateriniDong Eui Chang

In this paper, a geometric framework for neural networks is proposed. This framework uses the inner product space structure underlying the parameter set to perform gradient descent not in a component-based form, but in a coordinate-free manner... (read more)

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