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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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 28. november 2019 |
| ISBN13 | 9781680836226 |
| Utgivere | now publishers Inc |
| Antall sider | 102 |
| Mål | 235 × 155 × 10 mm · 168 g |
| Språk | Engelsk |
Se alt med Diederik P. Kingma ( f.eks. Pocketbok )