TinyML or Embedded system based Machine learning resources and notes
- Running deep neural networks (DNNs) on tiny Micro-controller Units (MCUs) is challenging due to their limitations in computing, memory, and storage capacity
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
In this paper, we present DeepPicarMicro, a small self-driving RC car testbed, which runs a convolutional neural network (CNN) on a Raspberry Pi Pico MCU. We apply a state-of-the- art DNN optimization to successfully fit the well-known PilotNet CNN architecture, which was used to drive NVIDIA’s real self- driving car, on the MCU