Zaniar Shokati

In today’s rapidly evolving AI landscape, deploying deep learning models on resource-constrained devices is both a challenge and a necessity. Embedded AI—where inference happens directly on devices like smartphones, IoT sensors, or embedded systems—demands models that are both efficient and effective. In this guide, we explore how to bridge the gap between high-capacity models and…

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