Curious about how deep learning models compute gradients? 🚀 This video breaks down the Chain Rule — the mathematical backbone behind backpropagation and optimization in neural networks.
You’ll learn how the chain rule connects calculus with artificial intelligence, helping neural networks adjust weights and learn efficiently. Perfect for beginners and data science enthusiasts!
💡 What You’ll Learn:
✅ What is the Chain Rule and why it matters in deep learning ✅ How gradients are computed in backpropagation ✅ How the chain rule helps optimize neural networks
🎓 About Imarticus Learning:
Master deep learning and data science with the Postgraduate Program in Data Science and Analytics (PGA) by Imarticus Learning — a 6-month, 100% job-assured program.
Be the first to comment