Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
whilst matching the log likelihood of PixelRNN. The basic idea as to why PixelRNN outperforms PixelCNN is because it uses LSTM layers. Receptive field of LSTMs encompasses all of the neighbouring pixels in the network while it grows with depth in PixelCNN. The major improvement or change introduced