Deep Generative Models
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , , , |
| Format: | eBook |
| Langue: | anglais |
| Publié: |
Springer Nature,
2024.
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| Sujets: | |
| Accès en ligne: | Access eBook |
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MARC
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| 001 | 17792 | ||
| 005 | 20261004181335.0 | ||
| 008 | 261004s2024 o 000 eng | ||
| 020 | |a 978-3-031-53767-7 | ||
| 100 | 1 | |a Mukhopadhyay, Anirban |9 39253 | |
| 700 | 1 | |a Oksuz, Ilkay |9 39254 | |
| 700 | 1 | |a Engelhardt, Sandy |9 39255 | |
| 700 | 1 | |a Zhu, Dajiang |9 39256 | |
| 700 | 1 | |a Yuan, Yixuan |9 39257 | |
| 245 | 0 | 0 | |a Deep Generative Models |
| 260 | |b Springer Nature, |c 2024. | ||
| 300 | |a 1 online resource | ||
| 650 | 4 | |a Computer Science |9 69352 | |
| 538 | |a Mode of access: World Wide Web. | ||
| 856 | 4 | 0 | |u https://library.mist.ac.bd/ebooks/4463/go?src=vufind |z Access eBook |
| 942 | |c EBOOK | ||
| 999 | |c 17792 |d 17792 | ||