TABLE 3.
CNN AutoEncoder architecture.
| Layers | Output shape |
|---|---|
| Encoder | |
| Input layer | (None, 100) |
| Convolution layer | (None,100,32) |
| MaxPooling | (None,50,32) |
| Convolution layer | (None,50,32) |
| MaxPooling | (None,25,32) |
| Convolution layer | (None,25,32) |
| MaxPooling | (None,13,32) |
| Flatten | (None,416) |
| Dense | (None,8) |
| Decoder | |
| Dense | (None,8) |
| Dense | (None,416) |
| Reshape | (None,13,32) |
| Convolution layer | (None,26,32) |
| Cropping | (None,25,32) |
| UpSampling | (None,50,32) |
| Convolution layer | (None,50,32) |
| UpSampling | (None,100,32) |
| Convolution layer | (None,100,32) |
| Flatten | (None,3,200) |
| Dense | (None,100) |