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What is Optimizing Image Classification with PartialDenseNet about?

This document proposes three variations of PartialDenseNet, a convolutional neural network (CNN) based on DenseNet that aims to reduce computational cost while retaining performance for image classification. The PartialDenseNet variations cut off low-efficiency connections between layers to create sparser networks. Experiments on the CIFAR-10 dataset evaluated the PartialDenseNet variations based on connection characteristics, training curves, and other metrics to determine which version provides the best t

Author

Pu Su

Language

EN