Deep learning for coders with fastai & PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger

• Autore: Howard, Jeremy
• Pubblicazione: Sebastopol, : O'Reilly, 2020
• Descrizione fisica: xxiv, 594 p. : ill. ; 24 cm
• Soggetto topico: 68-XX - Computer science [MSC 2020]; 68Txx - Artificial intelligence [MSC 2020]; 68T35 - Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence [MSC 2020]; 68T07 - Artificial neural networks and deep learning [MSC 2020]
• Altri autori: Gugger, Sylvain
• Persona (resp. second.): Chintala, Soumith
• Note generali: In cop: foreword by Soumith Chintala
• Titolo autorizzato: Deep learning for coders with fastai & PyTorch
• ISBN: 978-14-920455-2-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0250821
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://books.google.com/books?id=yATuDwAAQBAJ&printsec=frontcover&dq=Deep+learning+for+coders+with+fastai+and+PyTorch+:+AI+applications+without+a+PhD&hl=it&newbks=1&newbks_redir=1&sa=X&ved=2ahUKEwihoO3Ws7z6AhVChv0HHSn3D7oQuwV6BAgEEAo