Design of image recognition system based on deep learning hybrid model

The development of image processing technology has provided strong support for image recognition technology. At present, image recognition technology has gradually broken through the concept limit and has been applied to many fields. Image recognition technology is an innovation and upgrading of image processing technology, which is mainly used to collect and transmit various information through computer operation. At present, image processing technology mostly adopts the method based on depth learning model, but the traditional depth learning model has many disadvantages in image processing. In order to solve the problems of a single depth learning model, an image recognition system design based on depth learning hybrid model is propose.