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Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
Автор: Stanford Online
Загружено: 2025-09-02
Просмотров: 28201
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For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai
This lecture covers:
1. Regularization
2. Stochastic Gradient Descent
3. Momentum, AdaGrad, Adam
4. Learning rate schedules
To learn more about enrolling in this course visit: https://online.stanford.edu/courses/c...
To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/
Zane Durante
PhD student at Stanford University, Computer Science
View the entire course playlist: • Stanford CS231N Deep Learning for Computer...
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