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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 28. novembris |
| ISBN13 | 9781680836226 |
| Izdevēji | now publishers Inc |
| Lapas | 102 |
| Izmēri | 235 × 155 × 10 mm · 154 g |
| Valoda | Angļu |
