Table 2.

The CNN-LSTM network summary.

Layers	Types	Kernel size	Input size
1	Convolutional2D	3 x 3	64 x 64 x 3
2	MaxPooling2D	2 x 2	64 x 64 x 3
3	Convolutional2D	3 x 3	56 x 56 x 128
4	MaxPooling2D	2 x 2	56 x 56 x 128
5	Convolutional2D	3 x 3	112 x 112 x 64
6	MaxPooling2D	2 x 2	112 x 112 x 64
7	ConvLSTM2D	3 x 3	112 x 112 x 64
8	MaxPooling2D	2 x 2	112 x 112 x 128
9	ConvLSTM2D	3 x 3	112 x 112 x 128
10	MaxPooling2D	2 x 2	14 x 14 x 128
11	ConvLSTM2D	3 x 3	112 x 112 x 128
12	MaxPooling2D	2 x 2	112 x 112 x 128
13	ConvLSTM2D	3 x 3	224 x 224 x 128
14	MaxPooling2D	3 x 3	224 x 224 x 128
15	FC	–	512
16	Output	–	64