TensorFlow Pocket Primer
By Oswald Campesato
- Release Date: 2019-05-09
- Genre: Computers
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com.
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)
Table of Contents
1: Introduction to TensorFlow
2: Useful TensorFlow APIs
3: TensorFlow Datasets
4: Linear Regression
5: Logistic Regression
On The Companion Files!
(available from the publisher for downloading by writing to info@merclearning.com)
Source code samples
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