Abstract

Network language is the product of network culture. Its emergence and development conform to the law of language development. English network language is a part of network language. Deep learning is a special machine learning algorithm, which belongs to the field of machine learning. In recent years, breakthroughs have been made in image classification, object detection, image segmentation, speech recognition and other fields. Convolutional neural network is an important network structure in deep learning. Convolutional neural network is a kind of bionic network, which imitates biological neural network. It has excellent characteristics that traditional detection and classification algorithms can not achieve. Character recognition has been widely used in recent years. English handwritten character recognition is a difficult and complex recognition problem in the field of character recognition. Based on the background of network education, this paper uses character recognition technology to study the network language feature model of English.

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