Geometry of Deep Learning : A Signal Processing Perspective / Jong Chul Ye

• Autore: Ye, Jong Chul
• Pubblicazione: 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
• Titolo autorizzato: Geometry of deep learning
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278399
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-981-16-6046-7
• Serie: Mathematics in industry Berlin [etc.] . -Springer , 2002- ; 37