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Tutorial - What is a variational autoencoder? – Jaan Altosaar
jaan.io · 3,534 words · saved by 1 readers
Understanding Variational Autoencoders (VAEs) from two perspectives: deep learning and graphical models.
Why do deep learning researchers and probabilistic machine learning folks get confused when discussing variational autoencoders? What is a variational autoencoder? Why is there unreasonable confusion surrounding this term? There is a conceptual and language gap. The sciences of neural networks and probability models do not have a shared language. My goal is to bridge this idea gap and allow for more collaboration and discussion between these fields, and provide a consistent implementation ( Github link ). If many words here are new to you, jump to the glossary . Variational autoencoders are co
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