Tutorial-33:Regularization in neural networks|Deep Learning

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Overfitting got you down? In this video, we dive deep into Regularization — a key technique used to improve model generalization and reduce overfitting in machine learning and deep learning.

You'll learn:
✅ What is Regularization and why it matters
✅ The difference between L1 (Lasso) and L2 (Ridge) Regularization
✅ Real-world examples and visual intuition
✅ How to choose the right regularization technique

Whether you're a beginner trying to grasp the basics or a practitioner looking to brush up on the fundamentals, this video will give you clear, concise, and visual explanations!

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