English Deep Learning Model Based on Improved SM-2 Algorithm

In recent years, with the increasing level of global integration and English internationalization, the demand for English learning has also grown rapidly. However, the current deep learning of English is relatively weak. In the current English classroom, the teaching model that is usually teacher-centered, student passive learning, and knowledge-oriented is still very common. Students mechanically read and imitate in seemingly seamless teaching processes, although sometimes there are performances, group cooperation, and other forms of auxiliary teaching. However, few students can question or confuse the learned content through pre-thinking and self-understanding, and they are unable to use the English they have learned to solve some problems in real life. In this learning mode, students’ learning is only superficial and cannot delve into English, which also hinders the improvement of their overall abilities. Therefore, this article optimized the English deep learning model by improving the SM-2 algorithm (elliptic curve public key cryptography algorithm), so that students can deeply learn English and therefore easily pass the TEM4 (Test for English Majors-Band 4).