[ML 스터디] Chapter1. Model Training & Cost Function - 1

Main Reference:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron
- 혁펜하임의 딥러닝

🚌 Model Training & Cost Function

• Least Square
• Pseudo-inverse (SVD)
• Gradient Descent & Convexity
• Newton method vs Gradient Descent
• Regression
• Regulization - Ridge, Lasso

---

[ML 스터디] Model Training & Cost Function - 2 편에서 계속

• Stochastic Gradient Descent vs Batch Gradient Descent
• Classification
• Logistic & Softmax Function
• Cross-Entropy

🚌 Lecture Note

Least Square & Pseudo-inverse

Linear Algebra 참고

Gradient Descent & Convexity

Newton method vs Gradient Descent

Regression

Regulization - Ridge, Lasso

맨 위로 이동하기

ML 카테고리 내 다른 글 보러가기