Session 2: Variational Inference, Autoencoders, Variational Autoencoders
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YouTubeMainak's PMRF Tutorials
Session 2: Variational Inference, Autoencoders, Variational Autoencoders
In this video, we introduce the concept of variational inference for latent variable models. We derive the ELBO for the VAE and interpret it as a regularised training of an autoencoder. We show how the KL divergence helps bring the latent distribution closer to a known distribution, such as N(0,1), so we can finally sample from it and use a ...
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