Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
likelihood (NLL) is used as the loss and evaluation metric as the network predicts(classifies) the values of pixel from values 0–255. Pixel CNN The main drawback of PixelRNN is that training is very slow as each state needs to be computed sequentially. This can be overcome by using convolutional