Hands-on TinyML
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Home > Computing and Information Technology > Hands-on TinyML: Harness the power of Machine Learning on the edge devices
Hands-on TinyML: Harness the power of Machine Learning on the edge devices

Hands-on TinyML: Harness the power of Machine Learning on the edge devices


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About the Book

TinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an ideal resource for you. The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy and Pandas. It then delves into the fundamentals of neural networks and explores the practical implementation of deep learning using TensorFlow and Keras. Furthermore, the book provides an in-depth overview of TensorFlow Lite, a specialized framework for optimizing and deploying models on edge devices. It also discusses various model optimization techniques that reduce the model size without compromising performance. As the book progresses, it offers a step-by-step guidance on creating deep learning models for object detection and face recognition specifically tailored for the Raspberry Pi.

About the Author :
Rohan Banerjee is a practicing data scientist having more than 12 years of relevant industry experience. He completed his M.Tech from IIT Kharagpur in 2011. His areas of interest include advanced data science, machine learning, embedded machine learning, digital signal and image processing. Rohan is currently associated with Baker Hughes Company. Before that, he was with TCS Research, Tata Consultancy Services where he published more than 40 technical papers in international confreres, journals, and also contributed in enhancing their intellectual property portfolio


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Product Details
  • ISBN-13: 9789355518446
  • Publisher: BPB Publications
  • Publisher Imprint: BPB Publications
  • Height: 240 mm
  • No of Pages: 306
  • Sub Title: Harness the power of Machine Learning on the edge devices
  • ISBN-10: 9355518447
  • Publisher Date: 28 Apr 2023
  • Binding: Paperback
  • Language: English
  • Spine Width: 20 mm
  • Width: 190 mm


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