<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/945</identifier><creators><creator><creatorName>Diederik P. Kingma, Jimmy Ba</creatorName></creator></creators><titles><title>adam-a-method-for-stochastic-optimization-2021-006</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2021</publicationYear><resourceType resourceTypeGeneral="Text">Masters Thesis</resourceType><descriptions><description descriptionType="Abstract">This record links to the Adam optimization paper, which presents an adaptive learning-rate method widely used in deep learning. It is a compact but realistic technical PDF for testing keyword relevance, citation generation, and external document access.</description></descriptions></resource>