Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons
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, STRATEGI AKTIF PASIF DALAM OPTIMALISASI PORTOFOLIO SAHAM INDEKS LQ-45 we present a new posthoc visual interpretation technique that finds out discrim