• Bookmarks

    Bookmarks

  • Concepts

    Concepts

  • Activity

    Activity

  • Courses

    Courses


Gradient Descent Optimization is an iterative algorithm used to minimize a function by moving towards the steepest descent as defined by the negative of the gradient. It is crucial for training machine learning models, particularly neural networks, as it efficiently finds the optimal parameters by updating them iteratively based on the learning rate and the gradient of the loss function.
History Empty State Icon

Log in to see lessons

3