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Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
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Last Updated: September 28, 2026
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Summary
Take the Deep Learning Specialization: bit.ly/3cAd49Y all our courses: deeplearning.ai to ... Large neural-network weights can make a model overly sensitive to small changes in its input. In Lesson 21, discover how L2 ... , Share, . Visit my playlists for organized tutorial. In this video we will look into the L2 Train a model for too long, and it will stop generalizing appropriately. Don't train it long enough, and it won't learn. That's a critical ... Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... This is a video that introduces Welcome to Lecture 46 of the course "Deep Learning" by Prof. Mitesh M.Khapra Full Course: ... XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep ...