 This image contains a series of faces generated by the Nonnegative Boltzmann Machine, a new type of recurrent neural network that is able to capture correlations between features in nonnegative data. In this case it has been given a training set of faces, and is then able to generate series of new, valid faces, distinct from those in the training data. Courtesy of the Hopfield Group. |