Angular and Deep Learning Pocket Primer

Oswald Campesato (Autor)

Buch | Softcover

342 Seiten

2020
Mercury Learning & Information (Verlag)
978-1-68392-473-9 (ISBN)

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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	02.01.2020
Reihe/Serie	Pocket Primer
Sprache	englisch
Gewicht	499 g
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-68392-473-8 / 1683924738
ISBN-13	978-1-68392-473-9 / 9781683924739
Zustand	Neuware