Welcome to Explainable AI for Computer Vision — a free course that covers the theory and Python code for XAI
Explainable AI for Computer Vision: Free Python Course
Tag: Machine Learning
The Importance of Explainable AI (XAI) in Computer Vision
The 7 benefits of XAI for CV: uncovering systematic bias, explaining edge cases, improving fairness, safety and model efficiency, enhancing user interaction and building trust in machine learning
Like many millennials, I have satisfied my need to nurture with an unreasonably large pot plant collection. So much so
Permutation Channel Importance
A global interpretability method for understanding which channels in a computer vision model are most important
Practically, images are a 2D grid of pixels. In normal images, each pixel will have three values. We call these