The authors use convolutional neural networks (CNNs) to analyze authorship questions surrounding the works of Leonardo da Vinci—in particular, Salvator Mundi, the world’s most expensive painting and among the most controversial. Trained on the works of an artist under study and visually comparable works of other artists, the authors’ system can identify likely forgeries and shed light on attribution controversies. Leonardo’s few extant paintings test the limits of the system and require corroborative techniques of testing and analysis.

中文翻译：

---

一个神经网络看着莱昂纳多的（？）救世主

作者使用卷积神经网络 (CNN) 来分析围绕列奥纳多·达·芬奇 (Leonardo da Vinci) 作品的作者身份问题，尤其是《救世主》，这是世界上最昂贵的画作，也是最具争议的画作之一。作者的系统接受了正在研究的艺术家的作品和其他艺术家的视觉可比作品的培训，可以识别可能的伪造并阐明归属争议。列奥纳多现存的为数不多的画作测试了系统的极限，需要确凿的测试和分析技术。