Deploy Miniaturized Edge AI System over FPGA

A pytorch deep learning framework is adopted to train a deep learning model. After training is completed the output model is converted into a miniaturized and portable AI Model. DeepMentor design automation tools convert miniaturized AI models into optimized circuits for edge FPGA devices. Multiple circuits on the same FPGA device can execute different AI models in parallel.