Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
regularized. So, we apply dropout on the residual path after the first convolution. FIGURE 10 : Convolutional architecture with residual connections PixelCNN++ outperforms both PixelRNN and PixelCNN by a margin. When trained on CIFAR-10 the best test log-likelihood is 2.92 bits/pixel as compared to