Curriculum Design And Application Of Graphic And Image Processing In Secondary Vocational Schools Based On Deep Learning Theory

In recent years,the state vigorously promotes the modernization of vocational education development strategy.To promote the modernization of educational governance system and governance capacity,it is necessary to attach great importance to the quality of classroom teaching.Through the investigation,it is found that some secondary vocational classes still have the problems of students' passive learning and low classroom participation enthusiasm.The key to solve these problems is to improve the traditional classroom teaching methods and introduce cutting-edge teaching ideas.Recently,the concept of "deep learning" has gained momentum and is increasingly being applied to education.Deep learning mainly enables learners to understand,integrate,transfer and apply knowledge and information resources,improve students' critical thinking,and guide students to conduct in-depth thinking and implicit learning.At the same time,deep learning is also an effective way to implement the core accomplishment,which is complementary to each other and focuses on cultivating students' ideological quality and comprehensive practical ability necessary to adapt to the future society.In addition,deep learning pays more attention to the development of teachers' teaching ability and students' learning ability.Especially,it reflects on the teaching status of secondary vocational classes,Using deep learning theory to improve teaching activities and teaching design steps,and provides diversified teaching strategies,so as to better improve students' discipline core quality.Based on the information technology and classroom teaching under the background of depth fusion,by the methods of experiment and investigation,analysis of problems arising from the secondary classroom teaching,to deep learning theory as the instruction,refactoring secondary vocational school "image processing" course,design of high quality teaching activities,using the online and offline mode,designed the "Internet + information technology + software platform" teaching mode,form the online media,classrooms and training rooms three learning space of teaching activities.Finally,it is applied to the deep learning model in the experimental class,visualizing fragmented knowledge,guiding students to gradually transition from shallow learning to deep learning,and constructing the organic integration of learning process,which verifies that deep learning can promote students' learning effect and stimulate their learning interest and enthusiasm.This study mainly analyzes students' learning psychology and teachers' teaching practice,and forms a learning process based on cognitive starting point,creating problem situation,optimizing teaching content,promoting knowledge construction,revealing essential characteristics and facilitating knowledge transfer.The whole paper is divided into six chapters.The first chapter summarizes the research background,research significance,research status and research methods.The second chapter mainly analyzes the classroom teaching based on the theory of deep learning and explains its theoretical basis.The third chapter through the questionnaire survey of the teaching status of the course "graphic image processing" in secondary vocational schools,analyzes the existing problems and causes;The fourth chapter carries on the deep learning teaching design conception,optimizes the secondary vocational school classroom teaching process;The fifth chapter is the implementation of specific teaching cases,combining theory with practice,and cultivating students' core qualities.Chapter six is the summary and reflection of the whole research process.