Discussing Explainable AI with Jönköping University professor Beril Sirmacek
The past weeks I have had the honor to talk about Explainable AI (XAI) with Beril Sirmacek for a course she teaches at Jönköping University in Sweden. We talk about how I started with data science and especially computer vision. We go into several XAI techniques. In a follow-up video we also do a deep dive into Gradient Class Activation Maps (Grad-CAM), a technique to interpret a trained Convolutional Neural Network (CNN) model.
Podcast Interview:
Grad-CAM Deep Dive:
AI artificial intelligence Beril Sirmacek CNN computer vision Convolutional Neural Networks Grad-CAM Jonkoping University XAI
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