Angular and Deep Learning Pocket Primer
Volume in the series
Publisher:Mercury Learning and Information
By: Oswald Campesato
Paid access
|Oct 2020
Table of contents
Frontmatter
Contents
Preface
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
Appendix A. Introduction to KERAS
Appendix B. Introduction to TF 2
Appendix C. TF 2 Datasets
Index
13 chapters available
PDF ISBN: 978-1-68392-471-5 | E-Pub ISBN: 978-1-68392-472-2 | Paperback ISBN: 978-1-68392-473-9 | DOI: https://doi.org/10.1515/9781683924715
Publisher: Mercury Learning and Information
Copyright owner: © 2020 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2020
Language: English
Pages: 342
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