Table 2.

Architecture of our proposed ANN model and parameter information used in each layer.

Type of Layer	Output Shape	Number of Parameters
Input_1 (InputLayer)	[(None, 1024)]	0
dense (dense)	(None, 256)	262,400
dense_1 (Dense)	(None, 128)	32,896
flatten (Flatten)	(None, 128)	0
dense_2 (Dense)	(None, 10)	1290
Total:		296,586
Trainable:		296,586
Non-trainable:		0