Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Empower Your Edge Device Using NetsPresso – No AI Engineer Required!” tutorial at the May 2022 Embedded Vision Summit.
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, Kim introduces 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. Kim illustrates NetsPresso’s capabilities via use cases in intelligent transportation systems and driver monitoring systems.
See here for a PDF of the slides.