Table 4 Hypermeters consideration
Hyperparameter | ResNet-50 | ResNet-101 | EfficientNet-B3 |
|---|---|---|---|
Input Image Size | 224 × 224 pixels | 224 × 224 pixels | 224 × 224 pixels |
Kernel Sizes | 7 × 7, 1 × 1, 3 × 3, 5 × 5 | 7 × 7, 1 × 1, 3 × 3, 5 × 5 | NA |
Stride (Initial Convolution) | 2 | 2 | NA |
Stride (Subsequent Convolution) | 1 | 1 | NA |
Activation Function | ReLU | ReLU | ReLU |
Number of Layers | 50 | 101 | NA |
Residual Blocks | Yes | Yes | NA |
Global Avg Pooling | Yes | Yes | Yes |
Compound Scaling | No | No | Yes |
Squeeze-and-Excitation Blocks | No | No | Yes |