Chapter 1. 기초 수학

• Lectures

Chapter 2. DL overview

• Lectures

Chapter 3. Linear & Logistic Regression (optional)

• Lectures

Chapter 4. Multi-Layer Perceptron

• Lectures
• papers
  • Active function overview - paper

Chapter 5. Model optimization and generalization

• Lectures
• Papers

Chapter 6. Toolkits for Pytorch

• Lectures
• PyTorch Template Guideline - kor, video

Chapter 7. Convolutional Neural Network

• Lectures
• Papers
• Assignment

Chapter 8. Toolkits for CNN