Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks

Boris Knyazev, Erhardt Barth, Thomas Martinetz

In visual recognition tasks, such as image classification, unsupervised learning exploits cheap unlabeled data and can help to solve these tasks more efficiently. We show that the…