Research on the Teaching Reform and Talent Cultivation Methods of Drama and Film Major in Colleges and Universities

Cao, Zhen

doi:10.2991/sser-18.2018.29

Cited by 2 publications

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“…Firstly, this paper analyzes the differences between teachers and students' views in the process of cultivating innovative talents in colleges and universities by using the demand dimension model, which is conducive to the combination of training methods and structures [1]. Then, the article systematically introduces the research on the training path of lm talents, mainly taking the training process of innovative lm talents as the research task, and combining the different teaching needs of universities, teachers and students to analyze [2]. First, the demand model of arti cial neural network is introduced to analyze the differences in cultivating innovative talents for college students' lm development based on this dimension, which will help to integrate the transformation of educational methods and structural models of lm and television related majors in colleges and universities [3].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the training path of film creation talents based on artificial neural network

Ma¹

2023

Soft Comput

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In today's changing social background, lm creative talents cultivated through higher education are di cult to fully adapt to the environment. This paper tries to break the bottleneck of lm creation talents by introducing arti cial neural network technology, and is committed to cultivating innovative talents. By using arti cial neural network technology, the optimal model can be obtained based on target training samples. The main unit of this network technology is neuron. Through the design experiment, we can know that if we want to obtain the best convolutional network reconstruction model, the probability p value must be set to 0.1. Under this environment, the accuracy and convergence speed of the model will be greatly improved, so as to effectively analyze the research on creative talent training path. Then, this paper analyzes the feasibility and necessity of lm creation talent training by establishing a talent development prediction function. Through the innovation ability test of the target group and the comprehensive description of the function realization, the following characteristics are obtained: the target student group lacks innovation awareness, but has strong skills and rich imagination. Although the innovation personality is outstanding, the overall innovation ability is still low. Therefore, it is necessary to improve the innovation level of the target student group. Based on this, this paper puts forward several suggestions for talent cultivation. This paper designs several training paths by introducing arti cial neural network into the training process of lm creation talents.

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Section: Introductionmentioning

confidence: 99%

Simulation of the training path of film creation talents based on artificial neural network

Ma¹

2023

Soft Comput

View full text Add to dashboard Cite

show abstract

Simulation of the Training Path of Film Creation Talents Based on Artificial Neural Network

2023

Preprint

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In today's changing social background, film creative talents cultivated through higher education are difficult to fully adapt to the environment. This paper tries to break the bottleneck of film creation talents by introducing artificial neural network technology, and is committed to cultivating innovative talents. By using artificial neural network technology, the optimal model can be obtained based on target training samples. The main unit of this network technology is neuron. Through the design experiment, we can know that if we want to obtain the best convolutional network reconstruction model, the probability p value must be set to 0.1. Under this environment, the accuracy and convergence speed of the model will be greatly improved, so as to effectively analyze the research on creative talent training path. Then, this paper analyzes the feasibility and necessity of film creation talent training by establishing a talent development prediction function. Through the innovation ability test of the target group and the comprehensive description of the function realization, the following characteristics are obtained: the target student group lacks innovation awareness, but has strong skills and rich imagination. Although the innovation personality is outstanding, the overall innovation ability is still low. Therefore, it is necessary to improve the innovation level of the target student group. Based on this, this paper puts forward several suggestions for talent cultivation. This paper designs several training paths by introducing artificial neural network into the training process of film creation talents.

show abstract

Research on the Teaching Reform and Talent Cultivation Methods of Drama and Film Major in Colleges and Universities

Cited by 2 publications

References 0 publications

Simulation of the training path of film creation talents based on artificial neural network

Simulation of the training path of film creation talents based on artificial neural network

Simulation of the Training Path of Film Creation Talents Based on Artificial Neural Network

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