RETRACTED: Construction of Innovation and Entrepreneurship Platform Based on Deep Learning Algorithm (Retracted Article)

被引:2
作者
Li, Jian [1 ]
Zhao, Yongyan [2 ]
机构
[1] Harbin Univ, Ctr Innovat & Entrepreneurship Coll Students, Harbin 150086, Heilongjiang, Peoples R China
[2] Harbin Univ, Coll Humanities & Law, Harbin 150086, Heilongjiang, Peoples R China
关键词
D O I
10.1155/2021/1833979
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
As the national economy has entered a stage of rapid development, the national economy and social development have also ushered in the 14th Five-Year Plan, and the country has also issued support policies to encourage and guide college students to start their own businesses. Therefore, the establishment of an innovation and entrepreneurship platform has a significant impact on Chinas economy. This gives college students great support and help in starting a business. The theory of deep learning algorithms originated from the development of artificial neural networks and is another important field of machine learning. As the computing power of computers has been greatly improved, especially the computing power of GPU can quickly train deep neural networks, deep learning algorithms have become an important research direction. The deep learning algorithm is a nonlinear network structure and a standard modeling method in the field of machine learning. After modeling various templates, they can be identified and implemented. This article uses a combination of theoretical research and empirical research, based on the views and research content of some scholars in recent years, and introduces the basic framework and research content of this article. Then, deep learning algorithms are used to analyze the experimental data. Data analysis is performed, and relevant concepts of deep learning algorithms are combined. This article focuses on exploring the construction of an IAE (innovation and entrepreneurship) education platform and making full use of the role of deep learning algorithms to realize the construction of innovation and entrepreneurship platforms. Traditional methods need to extract features through manual design, then perform feature classification, and finally realize the function of recognition. The deep learning algorithm has strong data image processing capabilities and can quickly process large-scale data. Research data show that 49.5% of college students and 35.2% of undergraduates expressed their interest in entrepreneurship. Entrepreneurship is a good choice to relieve employment pressure.
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页数:7
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