Table 11 The evidence of comparison between models on the fashion dataset.
Classification models | Error (%) | # parameters | # epochs |
---|---|---|---|
2C1P2F + Drouout 73 | 8.39 | 3.26 Million | 300 |
3C2F73 | 9.29 | N/A | N/A |
2C1P73 | 7.49 | 100 K | 30 |
GRU + SVM + Dropout733] | 10.29 | N/A | 100 |
3C1P2F + Dropout73] | 7.39 | 7.15 Million | 150 |
AlexNet61 | 10.09 | 59 Million | N/A |
GoogleNet74 | 6.29 | 100 Million | N/A |
MLP 256-128-6462 | 10.01 | 40 K | 25 |
SqueezeNet-20075 | 10.01 | 500 K | 200 |
EvoCNN69 | 5.48 | 6.69 Million | 100 |
VGG1661 | 6.49 | 27 Million | 200 |
IPFA | 6.11 | 800 K | 30 |
IPALO | 7.12 | 900 K | 30 |
IPPSO | 6.58 | 750 K | 30 |
IPCF-GWO1 | 5.08 | 750 K | 30 |
IPCF-GWO2 | 5.21 | 751 K | 30 |
IPCF-GWO3 | 6.12 | 750 K | 30 |
IPCF-GWO4 | 5.62 | 750 K | 30 |
IPCF-GWO5 | 5.11 | 750 K | 30 |
IPCF-GWO6 | 5.41 | 750 K | 30 |