Название: TensorFlow Pocket Primer Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2019
Страниц: 169
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book introduces TensorFlow to people who have some knowledge of Python. Readers will learn about many “core” TensorFlow APIs, Linear Regression, Logistic Regression, and MultiLayer Perceptrons. This book is meant to provide both a foundation in TensorFlow and a rudimentary understanding of Deep Learning.
The material in the chapters illustrates how to solve a variety of tasks using TensorFlow, after which you can do further reading to deepen your knowledge. This book provides more detailed code samples than those that are found in intermediate and advanced TensorFlow books. Although it contains some basic code samples in TensorFlow, some familiarity with TensorFlow will be helpful.
The book will also save you the time required to search for code samples, which is a potentially time-consuming process. In any case, if you’re not sure whether or not you can absorb the material in this book, glance through the code samples to get a feel for the level of complexity.
Features:
- Uses Python for code samples
- Covers TensorFlow APIs and Datasets
- Assumes the reader has very limited experience
- Companion files with all of the source code examples (download from the publisher)
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