This project presents a comprehensive deep learning study focused on Convolutional Neural Network (CNN) architecture experimentation and model interpretability using the Mini-ImageNet dataset. The ...
Abstract: We explore the application of Least Squares (LS) classifiers for image classification on the Fashion MNIST dataset. To address the challenges of overlapping feature classes, regularisation ...