<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>deep-residual-learning-for-image-recognition-2023-002</dc:title><dc:creator>Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun</dc:creator><dc:date>2023</dc:date><dc:description>This record links to the ResNet paper, which presents residual learning as a method for training very deep neural networks. It is suitable for testing external PDF access, computer vision metadata, long author lists, and technical abstracts in an institutional repository.</dc:description><dc:identifier>https://inrepscholar.com/projects/941</dc:identifier></oai_dc:dc>