Multi-scale Hybrid Pooling Convolutional Neural Network Algorithm
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
10.12783/dtetr/ecar2018/26369
Refbacks
- There are currently no refbacks.