Gradient Descent

You’re very close , but one important idea needs correction 👇 📌 🔹 What is Gradient Descent? 👉 Gradient Descent is an algorithm to find the minimum value of a function (error) by updating parameters step-by-step. 📌 🔹 What is Gradient? 👉 Gradient = slope of the error function Tells: how fast error is changing which direction increases error the most ❗ Important Correction You said: “Gradient is maximum at the point where there is minimum error” ❌ This is incorrect ✔️ Correct statement: 👉 A