First steps with ESP32 and TensorFlow Lite for Microcontrollers

I have no doubt tiny edge devices will take a meaningful place in our life soon. Since Moore's Law applicable to such devices we are the spectators of maturing of mobile, embedded, wearable and implantable (augmenting) electronic devices with computational power enough to using AI. Unveiling TensorFlow Lite for Microcontrollers on TensorFlow Developer Summit approaches us to deploy AI on embedded devices. Evidently, to successfully deliver AI applications for microcontrollers, developers (or developers team) should be familiar with both ML framework and microcontroller programming. So I decided to narrow this gap and do some hands-on exercises with TensorFlow Lite for Microcontrollers. I prefer approach with gradual complexity increasing.