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You're reading from  Deep Learning for Beginners

Product typeBook
Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
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Dr. Pablo Rivas
Dr. Pablo Rivas
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Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas

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Examining the VAE model

The VAE is a particular type of autoencoder (Kingma, D. P., & Welling, M. (2013)). It learns specific statistical properties of the dataset derived from a Bayesian approach. First, let's define as the prior probability density function of a random latent variable, . Then, we can describe a conditional probability density function, , which can be interpreted as a model that can produce data—say, . It follows that we can approximate the posterior probability density function in terms of the conditional and prior distributions, as follows:

It turns out that an exact posterior is intractable, but this problem can be solved, approximately, by making a few assumptions and using an interesting idea to compute gradients. To begin with, the prior can be assumed to follow an isotropic Gaussian distribution, . We can also assume that the conditional distribution, , can be parametrized and modeled using a neural network; that is, given a latent vector , we...

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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859

Author (1)

author image
Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas