This lecture, by DeepMind Research Scientist Andriy Mnih, explores latent variable models, a powerful and flexible framework for generative modelling. After introducing this framework along with the concept of inference, which is central to it, Andriy focuses on two types of modern latent variable models: invertible models and intractable models. Special emphasis is placed on understanding variational inference as a key to training intractable latent variable models. Note this lecture was originally advert
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