Characterization and Design of Generalized Convolutional Neural Network

Pages: 1 - 6
Published: Mar 20, 2019
Abstract
The group convolution and representation theory give a strong support for generalized convolutional neural network. The generalized convolutional neural network (G-CNN) has been applied to learning problems and achieved the state-of-art performance. But a theoretical support for details of network architecture design is still lacking. In this work, we first analyze the necessary and sufficient condition for a neural network to be group...
Paper Details
Title
Characterization and Design of Generalized Convolutional Neural Network
Published Date
Mar 20, 2019
Journal
Pages
1 - 6
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