Table 2.

The number of layers and learnable parameters within the proposed multi-resolution network.

Layers	Number of Parameters
Input	0
Convolution	5,094,760
Batch Normalization	106,240
ReLU	0
Max Pooling	0
Zero-Padding	0
Fully Connected	4098
Softmax	0
Addition	0
Total parameters	5,205,098