딥러닝 기본

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

딥러닝 관련 기법 (Technics)

Gradients Vanishing & Exploding

Weight Initialization

Weight Decay (L2 Regularization)

Input Data Scaling

Batch Normalization

Transfer Learning, Fine Tuning

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