Table 2.

Best hyper-parameters for CNN classifiers.

	CNN: Cartesian	CNN: Polar-min	CNN: Polar-max
Architecture	ResNet-34	ResNet-34	ResNet-34
Parameters	21.3 M	21.3 M	21.3 M
Dropout	0.5	0.5	0.5
Image size	64 – > 512	64 – > 512	64 – > 512
Batch size	16	8	8
Validation loss	0.15024	0.1616	0.1639
Early stopping after	12 epochs	12 epochs	12 epochs
Learning rate (last layers)	0.008272	0.008642	0.006792
Learning rates (all layers)	[0.001034, 0.002068, 0.004136, 0.008272]	[0.00108, 0.00216, 0.004321, 0.008642]	[0.000849, 0.001698, 0.003396, 0.006792]
Epochs	700	550	650