TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you'll get up to speed with some of the latest TensorFlow features, develop the skills you need to perform supervised and unsupervised machine learning, and even learn how to train neural networks.

You'll get started with an overview of what's new in TensorFlow 2.0 Alpha, before moving on to understanding how to set up your machine learning environment using the TensorFlow library. You'll then gain insights into performing popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. Toward the later chapters, you will also get to grips with unsupervised learning for autoencoder applications. The book will finally guide you through training effective neural networks using practical examples in a variety of domains.

By the end of this book, you will have gained insights into a large variety of machine learning and neural network TensorFlow techniques, and be able to perform supervised and unsupervised machine learning with ease.