Can I read Variational Autoencoder on EtoBox?

Variational Autoencoder by Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antúnio Barros da Silva; Sérgio Lima Netto is a book available to read on EtoBox.

What is Variational Autoencoder about?

## What to expect in the following sections: • what a generative model is and what its benefits are, • how to evaluate a generative model, • detailed explanation of the Variational Autoencoder (VAE), • developments that enhance the VAE's performance in different aspects, • central problems of this class of models; • examples and demonstrations of the discussed VAE models. After the dense chapter on BNNs, the reader will find this one a bit simpler, as the required tools were actually already introduced. By the end of this chapter, one should • be able to characterize generative models, • understand when they are useful, • know the challenges on assessing their quality, • possess breadth of knowledge on VAE's core idea, • comprehend the ideas behind its extensions and what effectively changes. ### 5.1 Motivations Generative models are statistical models of data that attempt to capture the entire probability distribution from the observables, that is, to estimate p(x) from D = {X} n . They are a complete description of the probabilistic model that generates the observed data. In possession of the full model we can extrapolate to unseen examples, generate new samples, infer relations

Author

Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antúnio Barros da Silva; Sérgio Lima Netto

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030706784

Subjects

Science, Engineering, Mathematics