卷积神经网络
计算机科学
人工神经网络
人工智能
深度学习
神经系统网络模型
新认知
时滞神经网络
细胞神经网络
分割
循环神经网络
物理神经网络
机器学习
人工神经网络的类型
模式识别(心理学)
标识
DOI:10.1109/icbar55169.2021.00037
摘要
With the development of computer technology, practitioners of computer-related industries pay more attention to the neural network. The excellent predictive ability makes neural network models stand out and almost fill every corner of the network. The convolutional neural network is one of the neural network models. Compared with other models, the convolutional neural network has more advantages in image recognition and segmentation technology due to its unique layer types. Research on convolutional neural networks started in the 1980s and 1990s. In the 21st century, convolutional neural networks have developed rapidly. The theory of deep learning and the improvement of numerical computing equipment make great progress in computer vision, natural language processing and other fields.
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