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Deep Learning: Linear Classifier with Regularization | Finding Gradients Explained

In this session, we explore one of the core building blocks of Deep Learning — the Linear Classifier — and understand how Regularization helps improve generalization. We also break down the process of finding gradients, a key step in optimizing weights (W ) for better model performance.

How Regularization (L1 & L2) controls overfitting
Deriving and understanding gradients step by step
Role of gradients in finding the best weights (*W*)
Intuition for optimization

This video is designed for students, beginners, and researchers in Machine Learning and AI who want a clear understanding of the math and intuition behind classifiers and regularization.

✨ Watch till the end to strengthen your fundamentals and apply these techniques in real-world deep learning projects!

#DeepLearning #computervision #LinearClassifier #Regularization #Gradients #MachineLearning