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Tensorflow框架在高校实验教学评价模型中的设计与应用

Design and Application of Tensorflow in Colleges’s Evaluation Model in University Experimental Teaching
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摘要 Tensorflow是目前较为流行的应用最为广泛的人工智能框架,该框架可以通过已有的数据训练并研究模型的准确性。论文旨在通过使用Tensorflow框架对高校实验教学评价模型进行研究,研究设计和实现高校实验教学评价模型,以目前主流的评价模型为例,通过将实验教学评价模型向量化设计,同时实现实验教学评价算法,通过采用样本数据的训练和测试,形成可以实现基础预测的实验教学评价模型,在为后续的教学质量的改革发展中起到一定的参考意义和积极作用。 Tensorflow is currently the most popular AI framework for training and studying the accuracy of models using existing data.The aim of this paper is to design and implement the university experimental teaching evaluation model by using the Tensorflow framework,taking the current mainstream evaluation model as an example,through the vectorization design of the experimental teaching evaluation model and the realization of the experimental teaching evaluation Algorithm,and through the training and testing of the sample data,the experimental teaching evaluation model which can realize the basic prediction is formed,in the follow-up of the reform and development of teaching quality play a certain reference significance and positive role.
作者 杜敏 DU Min(GuangXi University of Finance and Economics,Nanning Guangxi 530003)
机构地区 广西财经学院
出处 《数字技术与应用》 2020年第9期151-153,共3页 Digital Technology & Application
关键词 机器学习 Tensorflow 深度神经网络 卷积神经网络 实验教学评价 Machine Learning Tensorflow deep neural networks convolutional neural network experimental teaching evaluation
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