Chapter 1. Getting Started with TensorFlow

In this chapter, we will cover basic recipes in order to understand how TensorFlow works and how to access data for this book and additional resources. By the end of the chapter, you should have knowledge of the following:

  • How TensorFlow Works
  • Declaring Variables and Tensors
  • Using Placeholders and Variables
  • Working with Matrices
  • Declaring Operations
  • Implementing Activation Functions
  • Working with Data Sources
  • Additional Resources

Introduction

Google's TensorFlow engine has a unique way of solving problems. This unique way allows us to solve machine learning problems very efficiently. Machine learning is used in almost all areas of life and work, but some of the more famous areas are computer vision, speech recognition, ...

Get TensorFlow Machine Learning Cookbook now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.