Programming with TensorFlow: Solution for Edge Computing Applications

Bring TensorFlow to the Edge 💻

TensorFlow is a powerful framework for building machine learning models, but deploying them efficiently on edge devices presents unique challenges. This book, edited by Kolla Bhanu Prakash and G. R. Kanagachidambaresan, brings together practical insights from researchers and practitioners to show how TensorFlow can be used for edge computing applications. Whether you’re a student taking your first steps into deep learning or a professional looking to implement solutions on single-board computers, the material offers a clear path from fundamentals to real-world projects.

What You’ll Find Inside

The book is organized into 12 parts, each focusing on a key area of TensorFlow and its applications. You’ll explore:

• Core TensorFlow concepts, including dataflow graphs and neural network fundamentals
• Image processing techniques and convolutional neural networks
• Recurrent neural networks and sentiment analysis
• Handwriting recognition and pattern recognition
• Factor analysis and feature extraction methods
• Machine learning and deep learning applications across domains
• Deploying TensorFlow on single-board computers and IoT devices

Hands-On Learning with Code and Exercises

Each chapter provides detailed coding explanations alongside output examples, so you can follow along and see results. The appendix includes exercises and their solutions, giving you opportunities to practice and reinforce your understanding. The approach is practical and grounded in real implementation, making complex topics accessible.

Who This Book Is For

This book is designed for a broad audience. Beginners will appreciate the step-by-step introduction, while advanced readers can dive into specialized topics like edge deployment. It’s particularly suited to students, data scientists, engineers, and researchers who want to leverage TensorFlow for edge computing scenarios. The blend of theory and practice makes it a valuable addition to any technical library.

About the Editors

Kolla Bhanu Prakash is affiliated with KL Deemed to be University, India, and G. R. Kanagachidambaresan is with Vel Tech Rangarajan Dr Sagunthala R&D; Institute of Science and Technology, India. Both have extensive experience in machine learning, IoT, and edge computing, and they have assembled a team of contributors to cover a wide spectrum of topics.

Why Edge Computing with TensorFlow?

Edge computing brings processing closer to data sources, reducing latency and bandwidth usage. TensorFlow’s flexibility makes it a natural fit for these environments. This book addresses the specific techniques and considerations for running TensorFlow on resource-constrained devices, from model optimization to deployment strategies. It’s a timely resource for anyone working at the intersection of AI and embedded systems.

Get Your Digital Copy Today 📥

Available as a digital ebook from Digital Delights, this Springer publication is an essential guide for mastering TensorFlow in edge computing contexts. Add it to your collection and start building smarter, more efficient applications.