Deploying TensorFlow Lite Models on ESP32 via Arduino for On-Device Inference
For ultra-low-power inference, see how to compress and deploy a TensorFlow Lite model on ESP32—effortlessly achieving sub-5ms predictions.
For ultra-low-power inference, see how to compress and deploy a TensorFlow Lite model on ESP32—effortlessly achieving sub-5ms predictions.