Inside deep learning

• Titel: Inside deep learning
• Titelzusatz: math, algorithms, models
• Mitwirkende: Raff, Edward [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Verf.angabe: Edward Raff
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2022
• Jahr: [2022]
• Umfang: 1 online resource (1 video file (15 hr., 54 min.))
• Illustrationen: sound, color.
• Fussnoten: “In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.”. - Online resource; title from title details screen (O’Reilly, viewed June 3, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Apprentissage profond
• Sach-SW: Intelligence artificielle
• Sach-SW: Python (Langage de programmation)
• Sach-SW: artificial intelligence
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1892765322
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544485525
• Lokale URL Inst.: Zum Volltext

Abstract

Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!