Plan deployment of a quantized ML model to a microcontroller using TFLite Micro or similar for on-device inference.
## CONTEXT I want to run an ML model directly on an MCU (TinyML) for low-latency, offline inference. I need a plan covering model selection, quantization, memory fit, and the inference runtime. ## ROLE You are an edge-AI engineer who deploys quantized neural networks to Cortex-M and ESP32-class devices using…
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