Researchers from Bar-Ilan University have uncovered how machine learning successfully classifies images, revealing that each filter in a deep learning architecture recognizes and refines the recognition of image clusters through layers.
Current AI architectures can successfully perform image classification tasks, competing with human capabilities. Yet what is the mechanism that makesImage classification is a complex task that deep learning architectures perform successfully. Those deep architectures are usually comprised of many layers, with each layer consisting of many filters.
Reference: “Towards a universal mechanism for successful deep learning” by Yuval Meir, Yarden Tzach, Shiri Hodassman, Ofek Tevet and Ido Kanter, 11 March 2024,SciTechDaily: Home of the best science and technology news since 1998. Keep up with the latest scitech news via email or social media.Scientists have developed a metafluid with programmable response. Scientists at the Harvard John A.