Master Thesis – Designing Ternary Neural Networks for Edge Vision

Job Title Master Thesis – Designing Ternary Neural Networks for Edge Vision Job Description Category Machine Learning, Computer Vision, Embedded Systems, Computer Science Scope 2 Master students, 30 hp each Background Deep-learning models have transformed computer vision, but deploying them on edge devices can be constrained by memory use, power consumption, and available compute. These limits matter in cameras and other devices that need to analyze images continuously while leaving resources available for other tasks. One possible way to reduce a model’s resource requirements is to constrain its weights to three values: −1, 0, and +1. This is called a ternary neural network (TNN).…