TensorFlow 2 Pocket Primer / / Oswald Campesato.
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlo...
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2019] ©2019 |
| Year of Publication: | 2019 |
| Language: | English |
| Series: | Pocket Primer
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| Online Access: | |
| Physical Description: | 1 online resource (252 p.) |
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Chapter 1. Introduction to TensorFlow 2
- Chapter 2. Useful TF 2 APIs
- Chapter 3. TF 2 Datasets
- Chapter 4. Linear Regression
- Chapter 5. Working with Classifiers
- Appendix: TF 2, Keras, and Advanced Topics
- Index