Optimization on Product Submanifolds of Convolution Kernels

22 Jan 2017Mete OzayTakayuki Okatani

Recent advances in optimization methods used for training convolutional neural networks (CNNs) with kernels, which are normalized according to particular constraints, have shown remarkable success. This work introduces an approach for training CNNs using ensembles of joint spaces of kernels constructed using different constraints... (read more)

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