Training & Optimization

Gradient Descent

An optimization algorithm that iteratively adjusts parameters in the direction of steepest descent of the loss function.

  • SGD: Explore how SGD relates to Gradient Descent
  • Learning Rate: Explore how Learning Rate relates to Gradient Descent
  • Optimization: Explore how Optimization relates to Gradient Descent
  • Backpropagation: Explore how Backpropagation relates to Gradient Descent

Why It Matters

Understanding Gradient Descent is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.

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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.

Tags

training-optimization sgd learning-rate optimization

Related Terms

Backpropagation

The algorithm for computing gradients of the loss with respect to network weights, enabling training through gradient descent.

Learning Rate

A hyperparameter controlling the step size in gradient descent - too high causes instability, too low slows convergence.

Added: November 18, 2025

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