Depth learning machine learning is a new field of research. To extract features to build depth by deep learning of the network is to head Before the objectives and behavior recognition obtained in research attention. Computer vision is to attract more researchers to explore the depth of study and discussion, and push Moving targets and conduct research to identify the depth of learning and new progress in the goals and behavior recognition to give an overview. The method first introduced collar depth study Basic Situation field research, the main concepts and principles then describes recent advances in deep learning some new goals and behavior recognition applications use. Knot Fruit describes the relationship between the depth of learning and neural networks, the advantages and disadvantages of deep learning and deep learning theory main problems to be solved. Conclusion In this paper intends to apply to the target depth of learning and behavior recognition researchers help.

深度学习及其在目标和行为识别中的新进展_郑胤.pdf

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