Step-by-step guide to running ML models on ESP32 using TensorFlow Lite Micro — quantization, memory budgeting, ESP-NN acceleration, and deployment patterns.
Complete engineering guide to deploying optimized AI models on edge hardware. Model quantization, TensorRT optimization, containerized inference pipelines, and fleet management at scale.