Chapter 4: Deep Learning Introduction
Chapter in the book
Publisher:Mercury Learning and Information
By: Oswald Campesato
Paid access
|Feb 2020
Table of contents
Frontmatter
CONTENTS
Preface
Chapter 1: Introduction to AI
Chapter 2: Introduction to Machine Learning
Chapter 3: Classifiers in Machine Learning
Chapter 4: Deep Learning Introduction
Chapter 5: Deep Learning: RNNs and LSTMs
Chapter 6: NLP and Reinforcement Learning
Appendix A: Introduction to Keras
Appendix B: Introduction to TF 2
Appendix C: Introduction to Pandas
Index
13 chapters available
PDF preview is not available for this content.
PDF ISBN: 978-1-68392-465-4 | E-Pub ISBN: 978-1-68392-466-1 | Paperback ISBN: 978-1-68392-467-8 | DOI: https://doi.org/10.1515/9781683924654
Publisher: Mercury Learning and Information
Copyright owner: © 2020 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2020
Language: English
Pages: 300
Related subjects: