Abstract
This study aims to explore the application of deep learning technology in the translation of children’s picture books. By analyzing the existing translation of children’s picture books, we extract the key factors to be considered in the translation process, and design a deep learning model to deal with these factors to achieve high-quality translation. At the same time, a picture book image recognition system is also implemented, which can understand the image content in the picture book and integrate these contents into the translation. Through continuous training and optimization of the model, an efficient picture book translation tool is obtained. In addition, the performance of the model in practical applications was evaluated, and the practical impact and value of deep learning in children’s picture book translation was explored through user feedback and surveys.