Learning Deep Generative Models
Aug 23, 2016 14536 views 
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In this tutorial I will discuss mathematical basics of many popular deep generative models, including Restricted Boltzmann Machines (RBMs), Deep Boltzmann Machines (DBMs), Helmholtz Machines, Variational Autoencoders (VAE) and Importance Weighted Autoencoders (IWAE). I will further demonstrate that these models are capable of extracting meaningful representations from high-dimensional data with applications in visual object recognition, information retrieval, and natural language processing.