🎓 How Machines Learn: Gradient Descent Explained | Deep Learning Simplified 🚀

Ever wondered how machines actually learn? 🤖 Gradient Descent is the backbone of optimization in deep learning — helping AI models minimize errors, improve accuracy, and make smarter predictions.

In this video, we’ll break down everything you need to know about Gradient Descent, its variations, and how it powers modern AI technologies. Perfect for beginners and aspiring data scientists!

📘 What You’ll Learn:
✅ How Gradient Descent optimizes neural networks
✅ Types — Batch, Stochastic, Mini-Batch
✅ Common challenges like vanishing gradients
✅ Real-world deep learning applications

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