IEEE

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations

Abstract: Deep convolutional neural networks (CNNs) have proven their effectiveness and are widely acknowledged as the dominant method for image classification. However, their lack of explainability ...
IEEE

An Analysis of Training Convolution Neural Networks for Image Classification Using Distributed Deep Learning

Abstract: Deep learning algorithms have seen a growth in recent times due to their capability of analyzing hidden patterns in large datasets efficiently. However, an increase in the complexity of ...