Using Machine Learning Approaches for Food Quality Detection

Table 2

The parameters of this paper’s method are listed as ResNets and DenseNets.

Name	Values of ResNets	Values of DenseNets
Kernel size	7 × 7	7 × 7
	3 × 3	3 × 3
	1 × 1	1 × 1
Stride	2	2
	1	1
Epoch number	200	200
Padding	3	3
	1	1
Learning rate	0.001	0.001
Number of convolutional layers	17	99
Number of pooling layers	2	4