Qbase

Gradient Descent: Revision history

View logs for this page

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

10 June 2025

  • curprev 06:3506:35, 10 June 2025 Thakshashila talk contribs 2,685 bytes +2,685 Created page with "= Gradient Descent = '''Gradient Descent''' is an optimization algorithm used in machine learning and deep learning to minimize the cost (loss) function by iteratively updating model parameters in the direction of steepest descent, i.e., the negative gradient. == What is Gradient Descent? == Gradient Descent helps find the best-fit parameters (like weights in a neural network or coefficients in regression) that minimize the error between predicted and actual values. I..."
Retrieved from "https://qbase.texpertssolutions.com/index.php/Gradient_Descent"