2021년/개발공부
[논문 정리] Wide & Deep Learning for Recommender Systems
원본 논문 Wide & Deep Learning for Recommender Systems Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs. Memorization of feature interactions through a wide set of cross-product feature transformations are arxiv.org 무엇을? Wide 선형 모델 + DNN 모델 공동 훈련이 가능한 wide&deep learning 제시 선형 모델: y = w^Tx+b 필요성 ..
2021. 4. 14. 15:13