Fig. 6From: Superiority of quadratic over conventional neural networks for classification of gaussian mixture dataDecreasing loss on the validation samples during the training process of conventional (C) and quadratic (Q) neural networks with different numbers of neurons. The notation \((\cdot )\) stands for the architecture of a neural network as described in Eq. 15Back to article page