TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

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Publisher ‏ : ‎ O’Reilly Media; 1st edition (January 21, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 501 pages
ISBN-10 ‏ : ‎ 1492052043
ISBN-13 ‏ : ‎ 978-1492052043
Item Weight ‏ : ‎ 1.75 pounds
Dimensions ‏ : ‎ 7.01 x 1.01 x 9.17 inches

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

TinyML, or Tiny Machine Learning, is a growing field that focuses on running machine learning models on ultra-low-power devices, such as microcontrollers. With the advancements in hardware and software, it is now possible to deploy TensorFlow Lite models on Arduino boards and other microcontrollers, enabling edge computing and real-time inference on small, battery-powered devices.

In this post, we will explore the possibilities of running machine learning models on Arduino using TensorFlow Lite. We will discuss the benefits of using ultra-low-power microcontrollers for machine learning tasks, the challenges of deploying models on resource-constrained devices, and the tools and libraries available for developing and deploying TinyML applications.

Stay tuned for more updates on TinyML and how you can leverage the power of machine learning on Arduino and other ultra-low-power microcontrollers.
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