Table 5 The performance of different network on SVHN
From: An multi-scale learning network with depthwise separable convolutions
Method | Iterations, 10000; batch_size, 128 | |
|---|---|---|
Acc(%) | Number of training parameters | |
GoogLeNet | 92.3 | 6640 |
AlexNet | 92.0 | 2016 |
MobileNet | 90.8 | 251 |
Our method 1 | 91.6 | 529 |
Our method 2 | 91.3 | 529 |