首页|New Findings on Machine Learning from University of Munster Summarized (euclid P reparation Xliii. Measuring Detailed Galaxy Morphologies for euclid With Machine Learning)
New Findings on Machine Learning from University of Munster Summarized (euclid P reparation Xliii. Measuring Detailed Galaxy Morphologies for euclid With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Munster, Germ any, by NewsRx journalists, research stated, “The Euclid missionis expected to image millions of galaxies at high resolution, providing an extensive dataset wi th which tostudy galaxy evolution. Because galaxy morphology is both a fundamen tal parameter and one that is hardto determine for large samples, we investigat e the application of deep learning in predicting the detailedmorphologies of ga laxies in Euclid using Zoobot, a convolutional neural network pretrained with 45 0 000galaxies from the Galaxy Zoo project.”
MunsterGermanyEuropeCyborgsEmerg ing TechnologiesMachine LearningUniversity of Munster
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