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Experiments with CNN variants on the CIFAR10 dataset. a Models performance in terms of classification accuracy (left y axes) over training epochs (x axes). b The number of weights of the three models on each dataset. The convolutional layers of each model have in total 287,008 weights, while the fully connected (or the sparse) layers on top have 8,413,194, 184.842, and 184,842 weights for CNN, CNNFixProb, and SET-CNN, respectively
