Class Activation Mapping
Explaining AI with Grad-CAM. – Mar 23, 2021
Gradient-based methods are a great way to understand a networks' output, but cannot be used to discriminate classes, as they focus on low-level features of the input space. An alternative to this are CAM-based visualization methods.
ML AI ExplainingExplaining Machine Learning Models
Explainability using tree decision visualization, weight composition, and gradient-based saliency maps. – Jan 15, 2021
Estimators that are hard to explain are also hard to trust, jeopardizing the adoption of these models by a broader audience. Research on explaining CNNs has gained traction in the past years. I'll show two related methods this post.
ML AI Explaining Scikit-Learn TensorFlow