Figure 3
Structure of Ano-AE, the convolutional autoencoder used in the anomaly detection algorithm. Filter sizes correspond to Model B3 in the body text and each block is composed of convolutional layers, two batch normalizations, ReLU activation and residual skip connections. The block marked with the symbol â–½ has a dropout layer at its end. The block marked with the symbol â–· is followed by a \(1\times 1\) kernel convolutional layer with a number of features equal to the number of channels of the input image