Feedforward (1) 썸네일형 리스트형 [Theorem] Neural Network 1. What is Neural Network Polynomial terms in linear regression and logistic regression, we have heavy features to set hypothesis. For example, if we have \(50 \times 50\) pixel images, then total pixels becomes 2500. So total features of logistic regression becomes \(n = 2500 + \alpha\) (very big, when applying polynomial term). If we have too many features, we can have overfitting problem and .. 이전 1 다음
