Abstract

Deep learning is a study hotspot in the domain of man-made intelligence. It is an inevitable trend to use deep learning to support the study work of man-made intelligence, and it has shown its act advantages in the domains of picture, speech and text. Interpretive approach of deep learning is an interdisciplinary study subject of man-made intelligence, machine learning(ML), cognitive psychics, logic and many other disciplines. It has vital abstract study meaning and actual apply worth in message push, medical study, finance, message security and other domains. Deep learning is a new study direction in the domain of ML. By imitating the structure of human brain, it can efficiently course complicated input data, smartly learn divers knowledge, and availably solve many kinds of complicated smart question. In recent years, with the emergence of efficient learning LRUs for deep learning, the ML community has set off an upsurge of studying the theory and apply of deep learning. The rise of 3D modeling technology has promoted the vigorous expand of computer simulation and virtual reality technology, and various 3D modeling software platforms and simulation systemics have emerged as the times require. These platforms and systemics provide powerful design tools and intellectual support. Through the simulation analysis of real scenes, people can directly start with 3D notions and ideas and make visual design schemes and evaluation systemics.

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