Deep Learning with JavaScript

• Verfasst von: Bileschi, Stanley [VerfasserIn]
• Verfasst von: Cai, Shanqing [VerfasserIn]
• Verfasst von: Nielsen, Eric [VerfasserIn]
• Titel: Deep Learning with JavaScript
• Institutionen: Safari, an O’Reilly Media Company.
• Verf.angabe: Bileschi, Stanley
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Manning Publications
• Jahr: 2020
• Umfang: 1 online resource (560 pages)
• Fussnoten: Online resource; Title from title page (viewed February 4, 2020)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic books ; local
• K10plus-PPN: 169486961X
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3624849972
• Lokale URL Inst.: Zum Volltext

Abstract

In Deep Learning with JavaScript , you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation.