Table 4.

The proposed ResNet152V2+GRU architecture.

Layer (type)	Output Shape	Parameters
Resnet152v2	(None, 7, 7, 2048)	58331648
reshape (Reshape)	(None, 7, 7, 2048)	0
Time_distributed_7	(None, 7, 14336)	0
gru_6 (GRU)	(None, 256)	11208192
dense (Dense)	(None, 128)	32896
dropout_4 (Dropout)	(None, 128)	0
dense_7 (Dense)	(None, 4)	516
Total params: 71,177,348
Trainable params: 71,033,604
Non-trainable params: 143,744