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An Introduction to Variational Autoencoders - Foundations and Trends (R) in Machine Learning
Diederik P. Kingma
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An Introduction to Variational Autoencoders - Foundations and Trends (R) in Machine Learning
Diederik P. Kingma
Presents an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models and corresponding inference models using stochastic gradient descent.
102 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 28, 2019 |
| ISBN13 | 9781680836226 |
| Publishers | now publishers Inc |
| Pages | 102 |
| Dimensions | 235 × 155 × 10 mm · 168 g |
| Language | English |
See all of Diederik P. Kingma ( e.g. Paperback Book )