2018 Vol.1 Jun No.3

• Title: Deep learning annotation method based on multi-features
• Name: Cleveland Damona
• Company: Transylvania University,America
• Abstract:

  The traditional deep learning annotation method has a long working time and the positioning accuracy is very poor. A new learning annotation method is studied for the above problems. The method structure and workflow are designed. The annotation method structure consists of two parts: regular RBM and deep neuron network. In order to test the working effect of the method, compared with the traditional method, it can be seen from the results that the designed standard method is short in time, high in precision, and has a good development space. This study has certain guiding significance for academic analysis.

• Keyword: Multi-Feature; Fusion Feature; Deep Learning; Image Semantic Annotation
• DOI: 10.12250/jpciams2018030112
• Citation form: Cleveland Damona.Deep learning annotation method based on multi-features[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 42-46.

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