It is apparent that the future of electrode design is heavily linked to the development of DL, given the challenges of identifying optimal structures for diverse application scenarios in complex parameter spaces. Employing DL across the materials synthesis, structure design, and characterization can significantly enhance design efficiency and accuracy. In this context, we will discuss recent progress in DL-assisted electrode optimization and analysis.