Curriculum

딥러닝 기초

분류
- Google Net
- AlexNet
- ResNet
- VGG
Object Detection
- Faster R-CNN 이론/실습
  - Non Max Suppression
  - Selective Search
- RetinaNet 이론
- YOLO
- SSD
Semantic Segmentation
- FCN
- DeepLab v1, v2, v3
Anomaly Detection
- Time Series Decomposition
  - ARMA Model
  - Autoregressive model
  - Moving-averge model
- clustering
- Autoencoder
- LSTM
- VAE
- GAN
Fire Detection
- FireNet
- InceptionV1-OnFireNet
Generative Model
- VAE
- GAN
- DCGAN
- WGAN
- CGAN
- Cycle GAN
image to image translation
- Pix2Pix
- Cycle GAN
XAI
- Interpretable Models
  - Linear Regression
  - Logistic Regression
  - GLM, GAM
  - Decision Tree
- Model-Agnostic Methods
  - PDP
  - ICE
  - ALE
Decomposition of Time Series
- ARMA Model
  - Autoregressive
  - Moving-averge
Data Analysis
- PCA
- t-SNE
- Clustering
Graph Neural Network
- Graph Convolutional Networks
- Graph Attention Networks
- Gated Graph Neural Networks
- Graph LSTM
Embedded AI
Natural Language Processing
- RNN
- LSTM
- GRU
- Word2Vec
Domain Adaptaion
Meta Learning
Uncertainty in Deep Learning
Efficient Inference Methods
Efficient Training Methods