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Evaluation of Explainability Methods and Robustness in Image Classification
Modern deep learning architectures have gotten proficient in the task of classifying an image to a correct class. However, the complexity of image classification architectures has made the decision-making process of such ...
Deep Learning with Fourier Transformed Images
The research and applications based on deep learning have increased rapidly over the past years. Image classification is one of the main applicational scopes of deep learning. Many existing image classifiers are based on ...
Frequency Domain Image Classification with Convolutional Neural Networks
The purpose of this thesis was to explore image classification in the frequency domain using convolutional neural networks. Image classification is a common application of machine learning where image samples are categorized ...