Optical Illusions: Blind Spots of Neural Networks

Optical Illusions: Blind Spots of Neural Networks

Click the image for details↑ Human vision is an extraordinary ability. Although it has evolved over millions of years in specific environments, it can accomplish tasks that early visual systems have never experienced. Reading is a great example, such as recognizing cars, airplanes, road signs, and other man-made objects. However, the visual system also has … Read more

Exploring Why General Generative Adversarial Networks (GANs) Struggle to Simulate Arithmetic Operations

Exploring Why General Generative Adversarial Networks (GANs) Struggle to Simulate Arithmetic Operations

In the previous article, someone raised the question in a comment about whether generative adversarial networks could be used to simulate shooting covers. This was previously tested in a simple experiment, but the results were not ideal. The unsatisfactory results stem from the implementation of general generative adversarial networks, which essentially involves a transformation or … Read more

Understanding GAN Networks from a Beginner’s Perspective

Understanding GAN Networks from a Beginner's Perspective

From | CSDN Blog Author | JensLee Edited | Deep Learning This Little Thing Public Account This article is for academic exchange only. If there is any infringement, please contact the backend to delete it. Understanding GAN networks (Generative Adversarial Networks) from a beginner’s perspective can be thought of as a forgery machine, creating things … Read more