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Real-World TinyML: Techniques for Training ML Models on Edge Devices
TinyML brings the power of machine learning to ultra low-power devices, enabling smart functionality at the edge. This session explores practical techniques for training and optimizing ML models specifically for deployment on constrained hardware like microcontrollers and IoT sensors. How to manage memory, reduce model size and maintain performance while bringing real intelligence to the edge.
Read the Full Blog here:
https://ramamtech.com/blog/how....-to-train-tinyml-mod
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