Where CNN is looking? – Grad CAM

Do you think, when you train a Convolutional Neural Network (CNN) to classify between images it is exactly understanding the image as we humans perceive? It’s difficult to answer, as for most of the times Deep learning models are often considered to be a black box. We feed in the data and then we get the output. Whatever happens in between this flow is very difficult to debug. Though we get the accurate predictions, it may not be true that they are intelligent enough to perceive the same way as we do. Continue reading