Preface

TensorFlow 2.x, developed by Google, is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push state-of-the-art ML and developers easily build and deploy ML-powered applications.

The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, regression analysis, tabular data, image and text processing and prediction, and much more. You will explore RNNs, CNNs, GANs, and reinforcement learning, each using the latest version of Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with various data problems and solving techniques using TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production.

By the end of the book, you will be proficient in the field of machine learning using TensorFlow 2.x. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios.