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Geometry of Deep Learning : A Signal Processing Perspective / Jong Chul Ye
| Geometry of Deep Learning : A Signal Processing Perspective / Jong Chul Ye |
| Autore | Ye, Jong Chul |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xvi, 330 p. : ill. ; 24 cm |
| Soggetto non controllato |
Deep Learning
Geometric understanding of deep neural network Mathematical principle of deep learning Optimal transport Review of state-of-the art deep learning methods |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278399 |
Ye, Jong Chul
|
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Geometry of Deep Learning : A Signal Processing Perspective / Jong Chul Ye
| Geometry of Deep Learning : A Signal Processing Perspective / Jong Chul Ye |
| Autore | Ye, Jong Chul |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xvi, 330 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 92C20 - Neural biology [MSC 2020] 94A12 - Signal theory (characterization, reconstruction, filtering, etc.) [MSC 2020] |
| Soggetto non controllato |
Deep Learning
Deep neural networks Mathematical principle of deep learning Optimal transport Review of state-of-the art deep learning methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278399 |
|
Ye, Jong Chul
|
||
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||