In order to improve the quality of clustering of digital English teaching resources, this paper introduces deep learning and conducts a research on the clustering method of digital English teaching resources. This method designs a cluster quality evaluation index of digital English teaching resources from multiple dimensions to evaluate the level of digital English resources. Collect English resources and establish a digital English resource bank. On this basis, we use deep learning to design resource clustering model. Finally, it realizes the accurate calculation of resource distribution density and designs the clustering process of digital English teaching resources. The findings from the experiment reveal that this technique has the capability to reach the maximum F-value measurement while maintaining a rapid pace, thereby leading to a substantial enhancement in the clustering quality of digital English instructional materials.