Table 1.
The parameter and output size of each layer in the mixed model.
| Layer (type) | Output Shape | Param # | Connected to |
|---|---|---|---|
| input_1 (InputLayer) | (None, 164, 4, 1) | 0 | |
| Conv3_32 (Conv2D) | (None, 162, 1, 32) | 416 | input_1[0][0] |
| Conv4_32 (Conv2D) | (None, 161, 1, 32) | 544 | input_1[0][0] |
| Conv5_32 (Conv2D) | (None, 160, 4, 32) | 672 | input_1[0][0] |
| Conv6_32 (Conv2D) | (None, 159, 4, 32) | 800 | input_1[0][0] |
| max_pooling2d_1 (MaxPooling2D) | (None, 1,1, 32) | 0 | Conv3_32 [0][0] |
| max_pooling2d_2 (MaxPooling2D) | (None, 1,1, 32) | 0 | Conv4_32 [0][0] |
| max_pooling2d_3 (MaxPooling2D) | (None, 1, 1, 32) | 0 | Conv5_32 [0][0] |
| max_pooling2d_4 (MaxPooling2D) | (None, 1, 1, 32) | 0 | Conv6_32 [0][0] |
| concatenate_1 (Concatenate) | (None, 1, 1, 128) | 0 | max_pooling2d_1[0][0] |
| max_pooling2d_2[0][0] | |||
| max_pooling2d_3[0][0] | |||
| max_pooling2d_4[0][0] | |||
| flatten_1 (Flatten) | (None, 512) | 0 | concatenate_1[0][0] |
| dense_1 (Dense) | (None, 128) | 16512 | flatten_1[0][0] |
| dropout_1 (Dropout) | (None, 128) | 0 | dense_1[0][0] |
| dense_2 (Dense) | (None, 2) | 258 | dropout_1[0][0] |