[R] Feedback Networks • r/MachineLearning

This paper explores the use of convolutional (PixelCNN) and recurrent units (PixelRNN) for modeling the distribution of images, in the framework of autoregression distribution estimation. In this framework, the input distribution $p(x)$ is factorized into a product of conditionals $\Pi p(x_i x_i-1)$. Previous work has shown that very good models can be obtained by using a neural network parametrization of the conditionals (e.g.