COE491 SMART MOBILITY DESIGN FOR DESIGNER, ENGINEER, AND DATA SCIENTIST
CLASS MATERIALS
Lecture Slides: KLMS
REFERENCE VIDEOS
Youtube (In Korean): Link
CODE
1. Deep Neural Network (DNN)
- Bracket: DNN
2. Convolutional Neural Network (CNN)
- Bracket: CNN
3. Autoencoder (AE) & Anomaly Detection
- Bracket: Autoencoder, Anomaly Detection
4. Convolutional Autoencoder (CAE)
- Bracket: CAE
5. Variational AutoEncoder (VAE)
- Bracket: VAE
6. Generative Adversarial Network (GAN)
- Bracket: GAN
7. Conditional GAN (cGAN)
- Bracket: cGAN
8. Denoising Diffusion Probabilistic Model (DDPM)
- Bracket: DDPM
9. Machine Learning Models
1) Principal Component Analysis (PCA): CODE
2) Logistic Regression: CODE
3) Support Vector Machine (SVM): CODE
4) Decision Tree & Random Forest: CODE
Competition
CNN Bracket Competition: CODE