Table 3.
The comparative performance of MobileNet with Mish and ReLU using different optimizer methods.
| Activation Function and Optimizer Methods |
Accuracy % |
Precision % |
Recall % |
F1 Measure % |
Training Time |
|---|---|---|---|---|---|
| Nadam & ReLU | 90.51 | 90.5 | 90.53 | 90.5 | 58 min 31 sec |
| Nadam & Mish | 93.28 | 93.24 | 93.46 | 93.27 | 58 min 48 sec |
| Adamax & ReLU | 87.17 | 87.31 | 86.9 | 87.04 | 58 min 05 sec |
| Adamax & Mish | 90.44 | 90.42 | 90.64 | 90.43 | 58 min 18 sec |
| Adam & ReLU | 86.91 | 87.19 | 86.56 | 86.75 | 58 min 27 sec |
| Adam & Mish | 89.93 | 89.93 | 90.15 | 89.91 | 58 min 38 sec |
| Adadelta & ReLU | 83.56 | 84.11 | 83.03 | 83.26 | 56 min 20 sec |
| Adadelta & Mish | 87.6 | 87.54 | 87.73 | 87.57 | 56 min 34 sec |
| RMSprop & ReLU | 83.04 | 83.68 | 82.47 | 82.71 | 55 min 47 sec |
| RMSprop & Mish | 85.37 | 85.33 | 85.52 | 85.34 | 56 min 07 sec |
| Adagrad & ReLU | 79.94 | 81.4 | 79.06 | 79.29 | 56 min 36 sec |
| Adagrad & Mish | 80.89 | 80.8 | 80.94 | 80.84 | 57 min 03 sec |
| SGD & ReLU | 74.48 | 75.93 | 73.48 | 73.52 | 59 min 27 sec |
| SGD & Mish | 76.59 | 76.68 | 76.82 | 76.57 | 59 min 48 sec |