2D-Deep Neural Network and Its Online Rapid Learning

Yevgeniy V. Bodyanskiy, O. Boiko, I. Pliss, V. Volkova
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引用次数: 1

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.
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二维深度神经网络及其在线快速学习
本文提出了二维深度神经网络及其在线学习算法。由于拒绝矢量化-去分散化操作,该系统可以减少可调节权重的数量。因此,它将数据输入的列和行之间包含的信息保存为2D矩阵。
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