<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/946</identifier><creators><creator><creatorName>Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov</creatorName></creator></creators><titles><title>improving-neural-networks-by-preventing-co-adaptation-of-feature-detectors-2020-007</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2020</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">This record links to the dropout paper, which explains how randomly omitting feature detectors during training can reduce overfitting. It is suitable for testing undergraduate AI project metadata, concise abstracts, and direct external PDF linking.</description></descriptions></resource>