Tiny Machine Learning Techniques for Constrained Devices
Gebonden EN 2026 9781032897523Samenvatting
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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- advisering
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