Interactive teaching design of mobile English based on deep learning

Aiming to enhance the management stage of Mobile English Interactive Educating in the intelligent flipped classroom mode, a design method of Mobile English Interactive Teaching Based on deep learning is proposed. Extract the information entropy of the distribution of Mobile English interactive teaching resources, analyze the feature quantities of mobile information interaction and channel equilibrium scheduling by the methods of deep and enhanced tracking learnings, construct the parameter set of phase space feature reorganization allocation by using the adaptive resource allocation equilibrium control and big data merging scheduling methods, the dynamic allocation of teaching resources is realized by priority scheduling and dynamic allocation. Realize software development and design under the Linux and net framework 4.0 framework. The simulation results show that the proposed method can improve the dynamic allocation and mining ability of Mobile English interactive teaching resources, the data merging level of the platform is high, the channel balance of Mobile English interaction is good, and the information interaction ability is strong.