Web Based College Forestry English Resource Construction and Teaching Reform Based on Deep Learning

Abstract

Big data and cloud computing is a new computing mode, which has a great role in promoting
the education and teaching of forestry majors in colleges and universities. It can realize the
efficient integration of all kinds of resources through network information sharing. Under the
network environment, students' autonomous learning has become a widespread learning mode
and basic requirement of forestry English education. This paper uses deep learning agent to
build an English autonomous learning platform to cultivate students' personalized and
collaborative ability. This paper expounds the characteristics of Web-based English autonomous
learning, and discusses in detail the construction process of the model under the framework of
multi-agent driven deep learning. This paper puts forward the advantages and evaluation
methods of computer network autonomous learning college English course, which provides
theoretical guarantee and experimental basis for the effective mechanism of network English
autonomous learning platform. Experiments show that the platform can improve students'
learning efficiency and comprehensive practical ability, and the proposed scheme has strong
research value.