Math and architectures of deep learning

• Titel: Math and architectures of deep learning
• Mitwirkende: Chaudhury, Krishnendu [VerfasserIn]
• Mitwirkende: Ashok, Ananya H. [VerfasserIn]
• Mitwirkende: Narumanchi, Sujay [VerfasserIn]
• Mitwirkende: Shankar, Devashish [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (17 hr., 15 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 July 9, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Apprentissage profond
• Sach-SW: Apprentissage profond ; Mathématiques
• Sach-SW: Python (Langage de programmation)
• 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: 1899110364
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4568083222
• Lokale URL Inst.: Zum Volltext

Abstract

Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research.