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- W4367591750 abstract "In the reform of college foreign language education, it is often one of the focuses of discussion whether the college curriculum can make students fully prepared to cope with the challenges of learning, future life and career. This is mainly because some students still have low learning efficiency at the stage of higher education, rely on mechanical memory and recitation, and lack high-level thinking ability, especially the ability to solve practical problems. Deep learning algorithm is the latest research trend of English education data analysis. It has been widely used in computer vision, speech recognition and text processing. Deep learning algorithm is an artificial intelligence (AI) technology, which uses neural networks to achieve advanced cognition. It can be divided into two types: 1. Deep convolution network 2. Deep recursive network in this paper, we will mainly focus on using deep convolution network to analyze English data, and provide a method to improve the accuracy of its results by using its improved deep learning algorithm." @default.
- W4367591750 created "2023-05-02" @default.
- W4367591750 creator A5029416142 @default.
- W4367591750 date "2023-01-01" @default.
- W4367591750 modified "2023-09-26" @default.
- W4367591750 title "Data Analysis Method of English Education Based on Improved Deep Learning Algorithm" @default.
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- W4367591750 doi "https://doi.org/10.1007/978-981-99-2287-1_13" @default.
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