687: Generative Deep Learning, with David Foster
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Exploration of Generative Deep Learning Techniques
This chapter explores the concepts of generative modeling, including techniques like auto encoders, variational auto encoders, diffusion, latent diffusion, and combining VAEs with autoregression and reinforcement learning. It also discusses the use of transformers in NLP models and how transformers enhance GANs in multimodal generative modeling.
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Transcript
