Table 1 Layer wise summary of the proposed architecture with window size 25 × 25
Layer(type) | Output Shape | Kernel_size | Stride | Parameter |
|---|---|---|---|---|
Input(InputLayer) | (25,25,30,1) | – | – | 0 |
Conv3d_1(Conv3D) | (23,23,24,8) | (7,3,3) | (1,1,1) | 512 |
Conv3d_2(Conv3D) | (21,21,20,16) | (5,3,3) | (1,1,1) | 5776 |
Conv3d_2(Conv3D) | (19,19,18,32) | (3,3,3) | (1,1,1) | 13,856 |
Reshape_1(Reshape) | (19,19,576) | – | – | 0 |
Conv2d_1(Conv2D) | (17,17,64) | (3,3) | (1,1) | 331,840 |
Flatten_1(Flatten) | (18,496) | – | – | 0 |
Dense_1(Dense) | (256) | – | – | 4,735,232 |
Dropout_1(Dropout) | (256) | – | – | 0 |
Dense_2(Dense) | (128) | – | – | 32,896 |
Dropout_2(Dropout) | (128) | – | – | 0 |
Dense_3(Dense) | (16) | – | – | 2064 |