Explainable Defect Detection Using Convolutional Neural Networks: Case Study

Deep Learning

Train object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.

Despite being extremely accurate, neural networks are not that widely used in the domains, where prediction explainability is a requirement, such as medicine, banking, education, etc.

In this tutorial, I’ll show you how to overcome this explainability limitation for Convolutional Neural Networks. And it is — by exploring, inspecting, processing, and visualizing feature maps produced by deep …

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