Machine Learning Notes
개인적인 참조를 위해 정리한 링크들입니다.
Contents
Basics
- Basic Theory
- Algorithms
- Geometry
- Linear Algebra
- Probablity and Statistics
- Numerical Methods
- Machine Learning Basics
- Deep Learning Basics
- Cost Funcitons
- Activation Functions
- Optimizations
- Regularizations
- Demension Reduction
Models
- Auto-Encoders
- ConvNet: Convolutional Neural Networks
- RNN: Recurrent Neural Networks
- Generations
- GAN: Generative Adversarial Networks
- Image to Image
- Reconstructions
- Image Segmentations
- Image Keypoint Recognition
- Reinforcement Learning
- Image Corrections
- 3D Shapes
- Pose Recognitions
- Face
- Recommand Systems
- NLP: Natural Language Processing
- Speech Separations
- Medical