Methodology, tools and perspectives to achieve neural networks fast deployment on STM32: Image classifier case study using Nucleo IoT node


Danilo Pau

Presentation title

Methodology, tools and perspectives to achieve neural networks fast deployment on STM32: Image classifier case study using Nucleo IoT node

Authors

Danilo Pau

Institution(s)

STMicroelectronics

Presentation type

Technical presentation

Abstract

To address the challenges and opportunities in applying neural networks for micro controllers, highest productivity shall be achieved when developing applications. Therefore, the talk will describe a 5-steps methodology applied to image classification case study by using a set of tools to automatically deploy pre-trained neural networks on STM32 Nucleo board and using off the shelf webcam. A set of exemplary case studies can be derived as useful starting point for AI practitioners.


Additional material

  • Extended abstract: [pdf]
  • Presentation slides: [pdf]

For more details on this presentation please click the button below: