Yelan Mo

Title: Yelan Mo: Innovator in Deep Learning Technologies

Introduction

Yelan Mo is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning technologies, particularly through his innovative patent work. His expertise and dedication to advancing technology have positioned him as a key figure in the industry.

Latest Patents

Yelan Mo holds a patent for an "Optimizer learning method and apparatus, electronic device and readable storage medium." This patent discloses a method that relates to deep learning technologies. The implementation solution involves acquiring training data, which includes various data sets containing neural network attribute information, neural network optimizer information, and optimizer parameter information. The process trains a meta-learning model using the neural network attribute and optimizer information as input, while the optimizer parameter information serves as output. This innovative approach allows for the self-adaptation of optimizers, enhancing their generalization capability.

Career Highlights

Yelan Mo is associated with Beijing Baidu Netcom Science and Technology Co., Ltd., where he continues to push the boundaries of technology. His work has garnered attention for its potential to revolutionize how optimizers function in deep learning applications.

Collaborations

Yelan collaborates with talented individuals such as Xiaomin Fang and Fan Wang, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Yelan Mo's contributions to deep learning technologies through his patent work exemplify his commitment to innovation. His efforts in developing self-adaptive optimizers are paving the way for advancements in the field.