Learning of deep convolutional network image classifiers via stochastic gradient descent and over-parametrization

Michael Kohler, Adam Krzyzak, Alisha Sänger

Image classification from independent and identically distributed random variables is considered. Image classifiers are defined which are based on a linear combination of deep conv…