The Greatest Guide To ML for embedded systems
TinyML models could be trained on a variety of data, such as sensor data, visuals, and textual content. As soon as trained, the models can be deployed to devices and accustomed to make predictions or decisions without the need for your cloud relationship.By sharing my details I accept the conditions and terms described in eCornell’s Privacy Cove