Processing complex information using the deep learning of neural networks

Abstract

The Neural network architecture for processing complex information is proposed in the project. The proposed architecture includes separate inputs for text, graphic, tabular, graph and meta information. An experimental research of the developed architecture’s performance indicators was carried out for solution of identifying information operations in the social network Internet problem.