目录前言·························································································1第一章绪论················································································21.1研究背景和意义····································································21.2showandtell自动图像描述系统简介··········································31.3主要工作及创新点·································································41.4本文的组织结构····································································5第二章ImageCaption自动图像描述技术··············································62.1ImageCaption简介································································62.2相关技术分析·······································································62.2.1showandtell模型····························································62.2.2show、attendandtell模型·················································112.2.3使用高级语义特征的模型················································112.2.4改进了RNN的模型························································122.2.5基于传统语言建模的模型················································142.3ImageCaption技术总结及展望················································15第三章机器翻译···········································································163.1基于深度学习的统计机器翻译················································163.1.1基于深度学习的统计机器翻译的核心思想···························163.1.2基于深度学习的统计机器翻译的优点·································163.1.3基于深度学习的统计机器翻译的不足·································163.2end-to-end神经机器翻译························································173.2.1神经机器翻译基本结构及发展历史····································173.2.2采用注意力机制的神经机器翻译模型·································183.2.3神经机器翻译的不足······················································193.3机器翻译研究展望······································...
