Multi-scale Hybrid Pooling Convolutional Neural Network Algorithm

Nan ZHAO, Xin WANG, Ying-na LI, Sheng WU

Abstract


With the popularization of the modern Internet and the rise of the mobile Internet, the data content of computer processing is more and more diverse. In this paper, we propose a multi-scale hybrid pooling algorithm based on convolutional neural network model, through convolution. The layer convolution method and the pooling mechanism of the pooling layer are improved to improve the generalization ability of the overall model.

Keywords


MSHP-CNN, Image processing, Data processing


DOI
10.12783/dtetr/ecar2018/26369

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