Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons
Clearance In recent years, researchers have been working to interpret the insights of deep neural networks in the pursuit of overcoming their opaqueness and so-called ‘black-box’ tag.In this work, we present a new posthoc visual interpretation technique that finds out discriminative image regions contributing highly towards networks