Advisors: Jaesik Choi/ Jae-Young Sim
Artificial Neural Networks are one family of machine learning models. As it can be inferred from its name, it works in a way to resemble the nervous systems of animals. Like a reflection of the things on our eyes is processed through the nervous system to recognize it, this project wants to figure out how input image is processed inside the model to be recognized.
Artificial Neural Networks are one family of machine learning models. As it can be inferred from its name, it works in a way to resemble the nervous systems of animals. So it can be told that the smallest component consisting neural networks, which is called perceptron, works same as neuron in the brain of animals. Then, let’s think about the process of an animal to recognize things by seeing, which is computer vision problem in machine learning area. The image will be raw input to the model, and each pixels of the image will put into the model. Like a reflection of the things on our eyes is processed through the nervous system to recognize it, this project wants to figure out how input image is processed inside the model to be recognized.