Book Image

TensorFlow Machine Learning Projects

By : Ankit Jain, Amita Kapoor
Book Image

TensorFlow Machine Learning Projects

By: Ankit Jain, Amita Kapoor

Overview of this book

TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Index

Dedication

I would like to dedicate this book to my wife, Sneha, who has canceled outdoor trips, stayed at home for multiple weekends, read early drafts of chapters, and even patiently listened to me rant about how difficult it is to write a book. She did all of that and more with a smile on her face. This is only a testament to the fact that she is the most amazing person I know.I would also like to dedicate this to my parents, Ranjan and Surendra Jain, who have given me nothing but unconditional love and unparalleled support. Their profound belief in my abilities has motivated and encouraged me to take up this massive project. Lastly, I would like to thank my in-laws, Sudarshana and Pravin Runwal and my sister and brother in-law Ankita and Yash Gandhi for their constant support throughout this book.

Ankit Jain

I would like to dedicate this book to Rhea Henriques from Packt for working remotely with me for many hours extending well beyond work hours, into late nights and early mornings, to provide quality content for the readers.

Armando Fandango

I would like to dedicate this book to my PhD supervisors, Prof. Enakshi Khular Sharma and Prof. Wolfgang Freude, for teaching me the importance of doubt, taking joy in solving little problems, never giving up.

Amita Kapoor