Lecture 13 | Generative Models - Stanford University School of Engineering - 深度學習 Deep Learning 公開課 - Cupoy
In Lecture 13 we move beyond supervised learning, and discuss generative modeling as a form of unsup...
In Lecture 13 we move beyond supervised learning, and discuss generative modeling as a form of unsupervised learning. We cover the autoregressive PixelRNN and PixelCNN models, traditional and variational autoencoders (VAEs), and generative adversarial networks (GANs).
Keywords: Generative models, PixelRNN, PixelCNN, autoencoder, variational autoencoder, VAE, generative adversarial network, GAN
Slides: http://cs231n.stanford.edu/slides/201...
