Research on Deep Learning Strategies for Chemical Container Courses
This paper provides a strategic analysis of the application of deep learning technology in the chemical container course,based on the specific characteristics and needs of chemical container course learning,to improve educational level,promote the comprehensive growth of learners,cultivate innovative talents,and achieve educational equity.Therefore,firstly,an in-depth analysis was conducted on the research significance of deep learning and the various challenges it faces.Secondly,an in-depth study was conducted on the current teaching status of the chemical container course,and a series of suggestions were proposed.Finally,a discussion on the strategy of chemical container courses based on deep learning was conducted.Through a questionnaire survey on deep learning of chemical containers,a comprehensive perspective on the teaching practice of chemical containers was obtained,and strategic analysis and research were conducted from the aspects of educational informatization,evaluation system,teacher training,and teaching reflection.The results indicate that the development of deep learning technology will greatly affect the educational environment,improve educational quality,achieve educational equity,and provide a richer and more efficient learning experience for every learner.