2D-Deep Neural Network and Its Online Rapid Learning

Abstract

In the paper, the 2D-deep neural network and the algorithm for its online learning are proposed. This system allows reducing the number of adjustable weights due to the rejection of the vectorization-devectorization operations. As a result, it saves the information that is contained between columns and rows of data inputs presented as 2D matrix.