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An Introduction to Variational Autoencoders - Foundations and Trends (R) in Machine Learning
Diederik P. Kingma
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 | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
Vrijgegeven | 28 november 2019 |
ISBN13 | 9781680836226 |
Uitgevers | now publishers Inc |
Pagina's | 102 |
Afmetingen | 235 × 155 × 10 mm · 168 g |
Taal en grammatica | Engels |
Bekijk alles van Diederik P. Kingma ( bijv. Paperback Book )