Angular and Deep Learning Pocket Primer
Seiten
2020
Mercury Learning & Information (Verlag)
978-1-68392-473-9 (ISBN)
Mercury Learning & Information (Verlag)
978-1-68392-473-9 (ISBN)
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) |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 1-68392-473-8 / 1683924738 |
ISBN-13 | 978-1-68392-473-9 / 9781683924739 |
Zustand | Neuware |
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