深度学习在图像识别中的应用

The Application of Deep Learning in Image Recognition

深度学习是机器学习研究中的新领域,经过模拟人脑认知建立结构化模型提取特征,在训练过程中仅仅需要计算机进行配合,不需要人员参加就可以获得良好的图像识别成效。笔者在分析传统图像识别的基础上,探讨了深度学习基本原理、发展与展望,讨论了深度学习在图像识别领域中的有效运用,并提出了深度学习在图像识别中运用的问题与未来研究方向。

Deep learning is a new field in machine learning research.After simulating human brain cognition to establish a structured model to extract features,in the process of training,only computer cooperation is needed,and no personnel is required to participate in the process,so good image recognition results can be obtained.Based on the analysis of traditional image recognition,this paper discusses the basic principle,development and Prospect of deep learning,discusses the effective application of deep learning in the field of image recognition,and puts forward the problems and future research direction of the application of deep learning in image recognition.