Table 2.

Hyper-parameter tuning values.

Parameters	Experiment Values
Number of Blocks/ Convolution Layers	[1,2,3,4,5]
Filters in convolution Layer	[8, 12, 16, 32, 64, 128]
Filter size	[1, 3, 5, 7, 11, 15]
MaxPooling Pool-size	[2, 4]
Dropout Ratio	[0.1, 0.2, 0.3, 0.4]