In the internet era

as people communicating and data exchanging frequently

the spread of malicious information is becoming more and more serious. Therefore

it is particularly important to identify and filter spam（text

image

video） on the internet. In recent years

the appearance of deep learning has greatly pushed forward the frontier of computer vision research

and computer vision tasks like image classification and recognition have greatly benefited from it. Compared with traditional methods

the features automatically extracted by deep model have better representing power. In this paper

we propose a rich media information detection method based on the deep learning. As a result

it achieves the purpose of fi ltering internet content.