Book Review: Deep Learning with TensorFlow 2 and Keras Posted on : Aug 04 - 2020

If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It’s pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras.

This book was a real team effort by a group of consummate professionals: Antonio Gulli (Engineering Director for the Office of the CTO at Google Cloud), Amita Kapoor (Associate Professor in the Department of Electronics at the University of Delhi), and Sujit Pal (Technology Research Director at Elsevier Labs). The resulting text, Deep Learning with TensorFlow 2 and Keras, Second Edition, is an obvious example of what happens when you enlist talented people to write a quality learning resource. I’ve already recommended this book to my newbie data science students, as I enjoy providing them with good tips for ensuring their success in the field.

This book is for Python-based data scientists who have a need to build AI solutions using machine learning and deep learning with the TensorFlow framework. Having a background in Python–based machine learning will help you progress through the chapters, but this book also provides the theory behind the use of TensorFlow 2, Keras, and AutoML to develop machine learning applications. View More