Convolutional neural networks

This model is derived from the research of two researchers, D. H. Hubel and T. N. Wiesel. In their paper, they explain how any mammal interacts with the objects around them, and in turn, what happens to the neurons in their brain. Using the same hypotheses and theory, computer scientists try to build the same biological neural structure and mechanism in order to detect and recognize images. This neural network is called a convolutional neural network (CNN). 

When a human sees an object, for example, a car, they can tell that it's a car, no matter what, whether they are looking at the front of it, the side of it, the back of it, or the top of it. They are still be able to recognize that it's a car. The research paper states that there are mainly three characteristics or features of a mammalian visual cortex that help identify...