Zoran Sevarac, Associate Professor at the University of Belgrade and Co-founder and CEO of Deep Netts, presents the “Modern Machine Vision from Basics to Advanced Deep Learning” tutorial at the May 2021 Embedded Vision Summit.
In this talk, Sevarac introduces the fundamentals of deep learning for image understanding. He begins by explaining the basics of convolutional neural networks (CNNs), and showing how CNNs are used to perform image classification and object detection. He provides an overview of the recent evolution of CNN topologies for object detection. He also illustrates typical use cases for CNN-based image classification and object detection, and provides a roadmap for getting started with deep learning for image understanding.
Public preview:
For the full version of this video, please visit https://www.edge-ai-vision.com/2021/10/modern-machine-learning-from-basics-to-advanced-deep-learning-a-presentation-from-deep-netts/
Full slides are available from SlideShare:
Slides: “Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts on SlideShare from Edge AI and Vision Alliance
