Book Image

TensorFlow 2.0 Quick Start Guide

By : Tony Holdroyd
Book Image

TensorFlow 2.0 Quick Start Guide

By: Tony Holdroyd

Overview of this book

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.
Table of Contents (15 chapters)
Free Chapter
Section 1: Introduction to TensorFlow 2.00 Alpha
Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
Unsupervised Learning Using TensorFlow 2
Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
Converting from tf1.12 to tf2

Section 1: Introduction to TensorFlow 2.00 Alpha

In this section, we will introduce TensorFlow 2.00 alpha. We will begin with an overview of the major features of this machine learning ecosystem and see some examples of its use. We will then introduce TensorFlow's high-level Keras API. We will end the section with an investigation of artificial neural network technologies and techniques.

This section contains the following chapters:

  • Chapter 1, Introducing TensorFlow 2
  • Chapter 2, Keras, a High-Level API for TensorFlow 2
  • Chapter 3, ANN Technologies Using TensorFlow 2