THE GREATEST GUIDE TO ML FOR EMBEDDED SYSTEMS

TinyML models may be trained on many different data, such as sensor data, photos, and textual content. When trained, the models could be deployed to devices and utilized to make predictions or decisions without the need to get a cloud relationship.Specialized knowledge and expertise: Embedded AI requires knowledge beyond standard embedded systems,