Abstract
In order to improve the resource training efficiency and login success rate of English online teaching assistant system, this paper proposes and designs an English online teaching assistant system based on deep learning. The overall structure of the system is designed in the web environment. The hardware of the system mainly includes the system login module, the homework function module and the examination information management module, so as to enhance the role of the system in English online teaching. In the software part of the system, convolution neural network in deep learning is used to train English online teaching resources to improve the quality of English online teaching resources. The experimental results show that, compared with the traditional system, the training efficiency and login success rate of the proposed method are improved, so the application performance of the designed system is strong.
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