Cheng Chen

Title: Cheng Chen and Visual Programming for Deep Learning.

Introduction

Cheng Chen is an inventor based in Redmond, Washington. His patent work includes a system for visually designing artificial neural networks and adapting them for use with different deep learning frameworks.

Latest Patents

Chen is associated with 1 patent, titled “Visual Programming for Deep Learning.” The invention presents a graphical representation of an artificial neural network, with visual elements corresponding to its layers. Users can drag and drop these elements to modify the network’s connections. The system updates a framework-independent intermediate representation and uses it to modify code for a selected deep learning framework.

Career Highlights

Chen is associated with Microsoft Technology Licensing, LLC. His patent describes an approach intended to make neural-network design more visual and to separate network editing from the requirements of any particular deep learning framework.

Collaborations

The provided information identifies Shuguang Liu and Haoxiang Lin as Chen’s coworkers. It does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Cheng Chen’s patent focuses on visual programming for deep learning, combining graphical network editing with framework-independent representations and code generation for a target framework.