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Tiny Machine Learning Techniques for Constrained Devices
Hardcover
ISBN13: 9781032897523
Publisher: CRC Press
Published: Jan 30 2026
Pages: 224
Weight: 1.11
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.
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