Architecture of our CNN. Convolutional layers are marked as conv3, where the number 3 means the size of the filter in pixels. The mark is followed by a dash and a number that specifies the count of filters. maxpool2 are max-pooling layers with pool size 2, stride 2, and no padding. fc-512 denotes a fully connected layer with 512 units, and softmax is the output layer. Dropout layers (Srivastava et al. 2014) with the hyperparameter set to the value 0.5 are used as regularisers.