Open AccessSparse 3D convolutional neural networks
Author(s) -
Ben Graham
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.29.150
Subject(s) - convolutional neural network , computer science , artificial intelligence , pattern recognition (psychology) , lattice (music) , cognitive neuroscience of visual object recognition , tetrahedron , object (grammar) , computer vision , mathematics , geometry , physics , acoustics
We have implemented a convolutional neural network designed for processing sparse three-dimensional input data. The world we live in is three dimensional so there are a large number of potential applications. In the quest for eciency, we experiment with CNNs on the 2D triangular-lattice and 3D tetrahedral-lattice.
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