Table 1 Parameter table of convolution neural network
From: Research on multi-robot scheduling algorithms based on machine vision
Layer | Type | Number of images Size | Convolution kernel size | |
|---|---|---|---|---|
0 | Input layer | 1 | 46*46 | Â |
1 | Convolution layer | 6 | 40*40 | 7*7 |
2 | Pooling layer | 6 | 20*20 | 2*2 |
3 | Convolution layer | 16 | 14*14 | 7*7 |
4 | Pooling layer | 16 | 7*7 | 2*2 |
5 | Convolution layer | 50 | 1*1 | 7*7 |
6 | Fully connected layer | 100 | Â | |
7 | Fully connected layer | 11 | Â | |