Python for TensorFlow Pocket Primer / / Oswald Campesato.
As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapter...
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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 (218 p.) |
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Chapter 1. Introduction to Python
- Chapter 2. Introduction to NumPy
- Chapter 3. Introduction to Pandas
- Chapter 4. Matplotlib, Sklearn, and Seaborn
- Chapter 5. Introduction to TensorFlow
- Chapter 6. TensorFlow Datasets
- Index