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基于TensorFlow的移动终端图像识别方法 被引量:7

Image recognition method of mobile terminal based on TensorFlow
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摘要 文章研究了基于TensorFlow的移动终端图像识别方法。TensorFlow是一种机器学习工具。TensorFlow功能广泛,但是主要用于构建深度神经网络模型。移动应用程序能够理解识别可能非常有用,通过迁移学习帮助识别图像内容可以帮助应用程序应用适当地过滤,或者标记照片以使其易于找到,因此,可以使用图像传感器来检测各种有趣的情况。 This paper studies the image recognition method of mobile terminal based on TensorFlow.TensorFlow is a machine learning tool.TensorFlow is widely used,but it is mainly used to build deep neural network models.Mobile applications can understand that recognition can be very useful,and help identify image content through migration learning can help applications apply appropriate filtering,or tag photos to make them easy to find,so you can use image sensors to detect interesting situations.
作者 熊亚蒙 Xiong Yameng(Guangzhou Institute of Technology, Guangzhou 510075, China)
出处 《无线互联科技》 2018年第21期111-112,130,共3页 Wireless Internet Technology
关键词 图像识别 TensorFlow 迁移学习 image recognition TensorFlow transfer learning
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  • 1BENGIO Y, DELALLEAU O. On the expressive power of deep archi- tectures[ C ]//Proc of the 14th International Conference on Discovery Science. Berlin : Springer-Verlag, 2011 : 18 - 36.
  • 2BENGIO Y. Leaming deep architectures for AI[ J]. Foundations and Trends in Machine Learning ,2009,2 ( 1 ) : 1-127.
  • 3HINTON G,OSINDERO S,TEH Y. A fast learning algorithm for deep belief nets [ J ]. Neural Computation ,2006,18 (7) : 1527-1554.
  • 4BENGIO Y, LAMBLIN P, POPOVICI D, et al. Greedy layer-wise training of deep networks [ C ]//Proc of the 12th Annual Conference on Neural Information Processing System. 2006:153-160.
  • 5LECUN Y, BOTTOU L, BENGIO Y, et al. Gradient-based learning ap- plied to document recognition[ J]. Proceedings of the iEEE, 1998, 86( 11 ) :2278-2324.
  • 6VINCENT P, LAROCHELLE H, BENGIO Y, et al. Extracting and composing robust features with denoising autoencoders[ C ]//Proc of the 25th International Conference on Machine Learning. New York: ACM Press ,2008 : 1096-1103.
  • 7VINCENT P, LAROCHELLE H, LAJOIE I, et aL Stacked denoising autoencoders:learning useftd representations in a deep network with a local denoising criterion [ J ]. Journal of Machine Learning Re- search ,2010,11 ( 12 ) :3371-3408.
  • 8YU Dong, DENG Li. Deep convex net: a scalable architecture for speech pattern classification [ C]//Proc of the 12th Annual Confe-rence of International Speech Comunication Association. 2011 : 2285- 2288.
  • 9POON H, DOMINGOS P. Sum-product networks:a new deep architec- ture[ C ]//Proc of IEEE Intemational Conference on Computer Vi- sion. 2011:689-690.
  • 10BENGIO Y,LECUN Y. Scaling learning algorithms towards AI[ M]// BOTTOU L,CHAPELLE O, DeCOSTE D,et al. Large-Scale Kernel Machines. Cambridge: MIT Press ,2007:321-358.

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