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Research on the Model of Academic Status Based on Deep Learning

机译:基于深度学习的学术地位模型研究

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摘要

For universities, the quality of talent training is particularly important. This article attempts to use machine learning methods to build a predictive model, using undergraduates’ entrance scores and the scores obtained in the first two years of university as the data source, With the increase of training times, the prediction accuracy of the model proposed in this paper is better than other algorithms, which can explain the method proposed in this paper. Has a certain universality and promotion.
机译:对于大学来说,人才培训的质量尤为重要。 本文试图使用机器学习方法来构建预测模型,使用本科生的入口分数和大学前两年获得的分数作为数据源,随着训练时间的增加,建议的模型的预测准确性 本文比其他算法更好,可以解释本文提出的方法。 有一定的普遍性和促销活动。

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