【Stanford CS236 Deep Generative Models：斯坦福大学开设的深度生成模型课程，带你解锁AI创造力！亮点：1. 涵盖多种前沿生成模型，如VAE、GAN、Normalizing Flow等；2. 应用广泛，涵盖计算机视觉、自然语言处理、强化学习等；3. 提供丰富的课程笔记和项目实践机会】
'Stanford University CS236: Deep Generative Models - Study the probabilistic foundations and learning algorithms for deep generative models, including variational autoencoders, generative adversarial networks, autoregressive models, normalizing flow models, energy-based models, and score-based models.'
deepgenerativemodels.github.io
#深度学习##生成模型##斯坦福课程##AI创造营#
'Stanford University CS236: Deep Generative Models - Study the probabilistic foundations and learning algorithms for deep generative models, including variational autoencoders, generative adversarial networks, autoregressive models, normalizing flow models, energy-based models, and score-based models.'
deepgenerativemodels.github.io
#深度学习##生成模型##斯坦福课程##AI创造营#
