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Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
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Last Updated: October 27, 2026
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Welcome to Lecture 55 of the course " In this video we will look into the L2 So um that next topic then of trying to make neural networks work better where i had doing new deep effective Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... ... working in in industrial robotics autonomous driving vehicles or if you're designing a totally new
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