Dow Global Technolgoies LLC

Shanghai Jiao Tong University

Rohm and Haas Electronic Materials Korea Ltd.

Yuchen Liu

David D Devore

Shaoguang Feng

Hua Ren

Zhengming Tang

Robert J Wright

Chenglin Li

Hong-Yeop Na

Hongkai Xiong

Wenrui Dai

Junni Zou

Minrong Zhu

Chong Xing

Yaoming Wang

The present disclosure provides an image classification method for maximizing mutual information, device, medium and system, the method including: acquiring a training image; maximizing the mutual information between the training image and a neural network architecture, and automatically determining the network architecture and parameter of the neural network; and processing image data to be classified using the obtained neural network to obtain an image classification result. According to the present disclosure, the network architecture and parameter of the neutral network are automatically designed and determined by maximizing the mutual information based on given image data without burdensome manual design and saving human and computational resource consumption. The present disclosure can automatically design and obtain a neural network-based image classification method in a very short time, and at the same time can achieve higher image classification accuracy.

Image classification method for maximizing mutual information, device, medium and system

An organic compound suitable for organic layers of electronic devices that show improved luminescent properties.

Organic compound and electronic device comprising an organic layer comprising the organic compound

Growing community of inventors

Shanghai, China

Yuchen Liu