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TinyML on Microcontrollers: Running Neural Networks on Resource- Constrained Hardware

by Kalen Virell
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Current price ₹1,309.00
Original price ₹1,512.00
Original price ₹1,512.00
Original price ₹1,512.00
(-13%)
₹1,309.00
Current price ₹1,309.00

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Book cover type: Paperback
  • ISBN13: 9798298434256
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 146
  • Original Price: GBP 12.54
  • Language: English
  • Edition: N/A
  • Item Weight: 205 grams
  • BISAC Subject(s): Robotics

TinyML is bringing machine learning to the smallest devices-microcontrollers. Imagine running neural networks on a battery-powered sensor, a wearable device, or a smart appliance, all without needing a cloud connection. This book shows you how to implement efficient models that fit in the tightest of spaces, even with limited processing power and memory.

TinyML on Microcontrollers is a hands-on guide that walks you through designing, deploying, and optimizing machine learning models on resource-constrained hardware. You'll learn how to build custom models for real-time inference, develop efficient data pipelines, and fine-tune models for performance and memory usage. From training on full datasets to converting models for deployment using quantization and pruning, this book covers all the essential techniques.

You'll work through step-by-step projects using popular microcontroller platforms like Arduino, Raspberry Pi, and TensorFlow Lite for Microcontrollers. The book also covers tools like Edge Impulse for model development and deployment, providing you with the skills to move from prototypes to fully functional devices. Topics like sensor integration, low-power consumption, and optimizing code to run on minimal resources make this a practical, real-world guide.

By the end of this book, you'll be able to take machine learning from the cloud to the edge, running powerful neural networks on small, cost-effective microcontrollers. Buy this book now and start building TinyML applications that bring intelligent systems to life, even in the most resource-constrained environments.

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