transfer learning 썸네일형 리스트형 07. Training Neural Networks(2) CNN Preivew Lecture 7 continues our discussion of practical issues for training neural networks. We discuss different update rules commonly used to optimize neural networks during training, as well as different strategies for regularizing large neural networks including dropout. We also discuss transfer learning and finetuning. Keywords: Optimization, momentum, Nesterov momentum, AdaGrad, RMSPro.. 더보기 이전 1 다음