아보카도 CNN 소개”CNN SEED is all AND END all.” 아보카도 씨만큼 단단한 CNN은 중요하다. 작성자강다은(따쯔) | 중앙대 공공인재학부김정국(Uni) | 고려대 통계학과이기은(끼니) | 서울대 언론정보학과 참고 강의Stanford University CS231nLecture 1 | Introduction to Convolutional Neural Networks for Visual RecognitionLecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. We emphasize that computer vision encompasses a w...https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv 아보카도 CNN WikipediaLecture 01 | Introduction to CNN for Visual Recognition Lecture 02 | Image ClassificationImage ClassificationNearest NeighborK-Nearest Neighbors(KNN)L1 거리 (맨해튼 거리)L2 거리 (유클리디언 거리) Lecture 03 | Loss Functions and OptimizationLoss FunctionOptimization Lecture 04 | Introduction to Neural NetworksComputational GraphBackpropagation (역전파)Neural Network Lecture 05 | Convolutional Neural NetworksNeural Networks의 역사Convolutional Neural Networks의 역사ConvNet의 작동원리 Lecture 06 | Training Neural Networks IActivation FunctionsData PreprocessingWeight InitializationBatch NormalizationBabysitting the Learning ProcessHyperparameter Optimization Lecture 07 | Training Neural Networks IIOptimization (최적화)Regularization (정규화)Transfer Learning 기타 문서Multiclass SVM LossSoftmaxGradient Descent
