Deploy a machine-learning model onto a microcontroller with TinyML, covering model selection and quantization, TensorFlow Lite Micro integration, memory and latency budgeting, and on-device inference.
## CONTEXT TinyML brings machine learning to microcontrollers, enabling keyword spotting, gesture recognition, anomaly detection, and image classification to run on devices with kilobytes of RAM and no cloud connection, preserving privacy and eliminating latency. But fitting a neural network into a microcontroller is…
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