Machine Learning 33
- 피어슨 상관 계수 (Pearson Correlation Coefficient)
- Website for public datasets
- 민감도와 특이도 (sensitivity, specificity)
- 재표본추출 방법, Resampling Methods
- 분류, Classification
- 선형 회귀, Linear Regression
- 편향-분산 절충, Bais-Variance Decomposition
- GAN - Generative Adversarial Networks (생성적 적대 신경망)
- (TensorFlow) estimator
- (TensorFlow) Datasets API
- A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization 정리
- Best Practices for Applying Deep Learning to Novel Application 정리
- Deep learning malware detection
- ILSVRC2016 Hikvision팀과 Trimps-Soushen팀의 기법
- Learning Fine-grained Image Similarity with Deep Ranking 정리
- (TensorFlow) TensorBoard
- (TensorFlow) input pipelines / Threading and Queue
- (TensorFlow) CNN
- (TensorFlow) 자료형과 기본적인 사용법
- Supervised, Unsupervised / Linear Regression
- CNN model과 다양한 분야에 딥러닝을 적용한 논문들
- 딥러닝 ( DL, Deep Learning ) / 심층 신경망 ( DNN )
- 합성곱 신경망 ( CNN, Convolutional Neural Network )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN )
- 인공신경망 ( ANN, Artificial Neural Network )
- 퍼셉트론( perceptron )