IEEE

CNN Model for Handwritten Digit Recognition with Improved Accuracy and Performance Using MNIST Dataset

Abstract: Handwritten digit identification is an area that requires substantial attention. It is necessary to take into account the differences in handwritten digits’ size, thickness, position, and ...
GitHub

MLCast Community intake catalog

You are looking at the source data intake catalog for the MLCast community. This is a collection of datasets we have currated with the aim of making them available to build machine learning training ...
IEEE

Enhancing Fashion Design with Conditional Generative Adversarial Networks: A CGAN Approach Using the Fashion-MNIST Dataset

Abstract: This research delves into the promising realm of Conditional Generative Adversarial Networks (CGANs) to explore their potential for crafting unique fashion item images. Leveraging the robust ...
GitHub

DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning

Graph Neural Networks (GNNs) are vulnerable to backdoor attacks, where triggers inserted into original graphs cause adversary-determined predictions. Backdoor attacks on GNNs, typically focusing on ...