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As we know, recently deep learning networks have gained currency for some time under the background of the rise of big model, and it has been widely used for various areas including microbiology images recognition. Nowadays deep learning network models are also divided into many different types, and many new models are proposed every year to achieve better performance. After introducing their specific principles and composition structure, this paper compares three common different deep learning networks named Deep neural network notation (DNN), Convolutional Neural network (CNN) and Recurrent Neural network (RNN), and introduces the recently emerging model named Residual network (Resnet), starting from a specific situation which calls for garbage classification. Moreover, during this experiment, it also gives the method V pipe a try which differs a lot from the former method, and receives good results worth celebrating. © 2023 SPIE.
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ISSN: 0277-786X
年份: 2023
卷: 12610
语种: 英文
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