딥러닝 기초 시리즈 1. 딥러닝 개요 2. 딥러닝 학습 3. 활성화 함수(Activaion Function) 4. 손실 함수(Loss Function) 5. 역전파(Back Propagation) 6. 최적화와 경사하강법(Optimization) 7. 성능평가지표(Evaluation) 8. CNN(Convolutional Neural Net.)-1 9. CNN(Convolutional Neural Net.)-2 10. RNN(Recurrent Neural Net.) 11. LSTM (Long Short-Term Memory) 12. CNN based Models 12-1. AlexNet 12-2. VGGNet 12-3. Inception (GoogLeNet) 12-4. ResNet 12-5. Xception 12-6. MobileNet 13. Object Detection 13-0. NMS (Non Maximum Suppression) 13-1. R-CNN 13-2. Overfeat 13-3. Fast R-CNN 13-4. Faster R-CNN 13-5. YOLO v1 Technics Gradients Vanishing & Exploding Weight Initialization Weight Decay (L2 Regularization) Input Data Scaling Batch Normalization Transfer Learning, Fine Tuning All Files