Parameter
- 400 Seiten
- 14 Lesestunden
Mehr zum Buch
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
Publikation
Buchkauf
Deep Learning with Python, François Chollet
- Sprache
- Erscheinungsdatum
- 2021
- Einband
- (Paperback)
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- Titel
- Deep Learning with Python
- Untertitel
- Second Edition
- Sprache
- Englisch
- Autor*innen
- François Chollet
- Verlag
- Manning Publications
- Erscheinungsdatum
- 2021
- Einband
- Paperback
- Seitenzahl
- 400
- ISBN10
- 1617296864
- ISBN13
- 9781617296864
- Reihe
- Schlagwörter
- Wissenschaft, Technologie, Künstliche Intelligenz, Maschinelles Lernen, Python (Programmiersprache)
- Erstveröffentlichung
- 2017
- Originaltitel
- Deep learning with Python
- Bewertung
- 4,55 von 5 Sternen
- Beschreibung
- Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.