Notes. The layers of the network are listed top to bottom, starting from the images of clusters and with the final layer producing parameters of the cluster. The convolutional layers are represented as groups of blocks; the “_x” in the name acts as a placeholder for the block number. The size of the outputs of each layer, both in spatial dimensions and in channel count, are listed on the second and third columns. The last column lists the operations that each layer performs. The layers or blocks with a stride of 2 are max_pool, conv3_1, conv4_1, and conv5_1, as can be seen when input and output sizes differ 2 times. The last layer has 4 groups of softmax layers branching out in parallel; the first predicts age, extinction, and mass, the second predicts cluster size, the third predicts class_c/b, and the fourth predicts visibility.