Date: Tuesday, May 17 (Main Conference Day 1)
Start Time: 1:30 pm
End Time: 2:00 pm
Despite the outstanding achievements of deep learning models, commercializing deep learning applications remains challenging. AI implementation experts are rare, and AI models for production must meet demanding requirements, processing high-bandwidth data in real-time with limited memory and processing resources, while preserving privacy. In this talk, we introduce NetsPresso, a hardware-aware MLOps tool for creating production-level AI models. Different NetsPresso modules support each step of the development of a deployable AI model, including data preparation, model selection, optimization and deployment. We’ll illustrate NetsPresso’s capabilities via use cases in intelligent transportation systems and driver monitoring systems.