RETRACTED: Application of Convolutional Neural Network in Modern Technology Field and Improvement by Time-space Version

Abstract

Based on the basic principle of convolutional neural networks, this paper gradually introduces the development of convolutional neural networks and its related application fields. We also analyze and compare the iterations and developments of convolutional neural networks in three most commonly used areas: medical treatment, face recognition and transportation. A large number of articles have been written to understand the variations and differences of convolutional neural networks in these three areas, such as the use of different training methods or different structures, such as the time-space convolutional neural networks that will be mentioned in the article. And the last part is the summary.

Research on mass image classification based on CNN deep learning

“…After many attempts, the framework of pytorch and the preset wide_resnet_101_2 network [8][9][10] are used to train the data given by the task on the pre-trained model, and the classification network required by the task is obtained. The stochastic gradient descent (SGD) method is selected as the optimizer, which is characterized by effective use of information, excellent results in early iteration, and advantages in large sample size.…”