Research Article

Multiactivation Pooling Method in Convolutional Neural Networks for Image Recognition

Table 10

The number of trainable parameters and depth in different VGG models are shown in Table 1. “Conv-D” indicates the number of convolutional layers and “FC-D” indicates the number of fully connected layers.

ModelsParamsDepthConv-DFC-D

A9.8M1183

B-D5.4M1183

E9.9M13103

F-H8.2M13103

A02.9M963

B02.9M963

C01.3M963

C0+shortcuts1.3M963

D01.2M862