A convolutional neural network designed for processing sparse three-dimensional input data and experiment with CNNs on the 2D triangular-lattice and 3D tetrahedral- lattice is implemented.
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.