Angular and Deep Learning Pocket Primer - Oswald Campesato

Angular and Deep Learning Pocket Primer

Buch | Softcover
342 Seiten
2020
Mercury Learning & Information (Verlag)
978-1-68392-473-9 (ISBN)
45,50 inkl. MwSt
Provides information to develop sophisticated Angular applications that incorporate deep learning. The first three chapters of this book contain a short tour of basic Angular functionality. The fourth chapter introduces you to deep learning. The fifth chapter discusses RNNs. The sixth chapter introduces basic TensorFlow concepts.

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipes
3: Forms and Services
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: Angular and TensorFlow.js
Appendices:
A. Introduction to Keras
B. Introduction to TensorFlow 2
C. TensorFlow 2 Datasets
Index

Erscheinungsdatum
Reihe/Serie Pocket Primer
Sprache englisch
Gewicht 499 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-68392-473-8 / 1683924738
ISBN-13 978-1-68392-473-9 / 9781683924739
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Aus- und Weiterbildung nach iSAQB-Standard zum Certified Professional …

von Mahbouba Gharbi; Arne Koschel; Andreas Rausch; Gernot Starke

Buch | Hardcover (2023)
dpunkt Verlag
34,90
Lean UX und Design Thinking: Teambasierte Entwicklung …

von Toni Steimle; Dieter Wallach

Buch | Hardcover (2022)
dpunkt (Verlag)
34,90
Wissensverarbeitung - Neuronale Netze

von Uwe Lämmel; Jürgen Cleve

Buch | Hardcover (2023)
Carl Hanser (Verlag)
34,99