Foreword

TensorFlow and Keras are a key part of the "Data Science for Internet of Things" course, which I teach at the University of Oxford. My TensorFlow journey started with Keras. Over time, in our course, we increasingly gravitated towards core TensorFlow in addition to Keras. I believe many people's 'TensorFlow journey' will follow this trajectory.

Armando Fandango's book "Mastering TensorFlow 1.x" provides a road map for this journey. The book is an ambitious undertaking, interweaving Keras and core TensorFlow libraries. It delves into complex themes and libraries such as Sonnet, distributed TensorFlow with TF Clusters, deploying production models with TensorFlow Serving, TensorFlow mobile, and TensorFlow for embedded devices.

In that sense, this is an advanced book. But the author covers deep learning models such as RNN, CNN, autoencoders, generative adversarial models, and deep reinforcement learning through Keras. Armando has clearly drawn upon his experience to make this complex journey easier for readers.

I look forward to increased adoption of this book and learning from it.

Ajit Jaokar

Data Science for IoT Course Creator and Lead Tutor at the University of Oxford / Principal  Data Scientist.