Designing deep learning systems

• Verfasst von: Wang, Chi [VerfasserIn]
• Verfasst von: Szeto, Donald [VerfasserIn]
• Titel: Designing deep learning systems
• Institutionen: Manning (Firm), [Verlag]
• Verf.angabe: Chi Wang, Donald Szeto
• Ausgabe: Video edition.
• Verlagsort: [Place of publication not identified]
• Verlag: Manning Publications
• Jahr: 2023
• Umfang: 1 online resource (1 video file (11 hr., 58 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Apprentissage profond
• Sach-SW: Apprentissage automatique
• 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: 1881696340
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4491989788
• Lokale URL Inst.: Zum Volltext

Abstract

A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning's design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting--and lucrative--career as a deep learning engineer. Designing Deep Learning Systems: A software engineer's guide teaches you everything you need to design and implement a production-ready deep learning platform. First, it presents the big picture of a deep learning system from the developer's perspective, including its major components and how they are connected. Then, it carefully guides you through the engineering methods you'll need to build your own maintainable, efficient, and scalable deep learning platforms. Chi Wang is a principal software developer in the Salesforce Einstein group. Donald Szeto was the co-founder and CTO of PredictionIO.