摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。据新闻报道NewsRx记者从Germ Any的明斯特报道，研究称，“欧几里德任务”预计将以高分辨率成像数百万个星系，提供一个广泛的数据集，可以用来研究星系演化。因为星系形态既是一个基本参数，又是一个难以确定的参数为了确定大样本,我们研究了深度学习在预测细节方面的应用基于Zoobot的欧几里德ga松弛形态研究来自银河动物园项目的星系。
Abstract
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.”
NETL
NSTL