So how many people know about artificial intelligence? What are the key points of image recognition in artificial intelligence technology? What do you need to know about artificial intelligence? For the popular AI+ image recognition technology, neural network image recognition technology and nonlinear dimension reduction image recognition technology are the two most commonly used image recognition technologies.
The following computer training gives you a detailed analysis of the following two common AI image recognition technologies.
First, neural network image recognition technology If you want to understand the recognition technology of AI images, the most important thing is to understand the neural network image recognition technology. Neural network image recognition technology is actually artificial neural network image recognition technology, which is mainly based on the research of modern neurobiology. In the process of simulating biology, the computational structure that reflects some characteristics of human brain mainly uses simulation in the explanation process. However, in the actual use process, IT training found that the neural network system itself does not completely simulate human neural network, and mainly improves the efficiency of related computational structures by abstracting, simplifying and simulating human neural network.
For neural network image recognition technology, image recognition is realized mainly by applying neural network learning algorithm.
When using neural network for image recognition, it is necessary to preprocess the related images first.
In addition, Jade Bird of Sichuan Peking University believes that the preprocessing mainly includes the conversion of true color images into grayscale, the rotational amplification of degree maps and grayscale images, and the standardization of grayscale images.
Second, the image recognition technology of nonlinear dimensionality reduction In addition to the image recognition technology of neural network, the image recognition technology of nonlinear dimensionality reduction is also a common image recognition technology in the current AI era.
For the traditional image recognition technology realized by computer, it is a relatively high-dimensional recognition technology.
This high-dimensional feature makes the computer often bear a lot of unnecessary burdens in the process of image recognition.
This burden will naturally affect the speed and quality of image recognition, and nonlinear dimensionality reduction image recognition technology is a technical form that can better realize image recognition and dimensionality reduction.
In the process of learning software development, many people know little about IT industry. What can the IT industry do? In fact, many technologies in life need to be realized on the basis of computer technology. It is very helpful to learn more relevant industry knowledge while attending computer training in Sichuan.