With the development of IoT and big data technology,convolutional neural networks have achieved remarkable results in image classification tasks.In order to solve the problems of limited data propagation and difficult feature extraction of traditional post-course race certificate courses,the study constructs a convolutional neural network in post-course race certificate education course classification recognition model based on IoT and big data technology.Firstly,the educational course classification is studied by using IoT and big data,then the course classification is combined with convolutional neural network to build a model applicable to the course classification of the on-the-job course,and finally the trained model is trained and tested by applying the trained model to the actual test data.The results show that the accuracy rate,PR curve and F1 value of the research constructed course classification recognition model are 90.61％,0.89 and 0.81 respectively,and the experimental results are better than the comparison methods.This verifies that the classification recognition model proposed by the study has high classification recognition ability,and this study plays a role in promoting the development of the post course certification.
internet of thingsbig datavolume neural networkscertificate of post-course competitioncourse categories
万方数据
维普
