Calibration
Artificial Intelligence
A branch of mathematics focused on continuous change, essential for optimizing AI models and understanding rates of change in data.
Detailed Explanation
Calculus in artificial intelligence involves mathematical techniques to analyze and optimize models by understanding continuous change. It helps in computing gradients for training algorithms like neural networks, enabling efficient learning and adjustment of parameters. By understanding rates of change, calculus aids in improving model accuracy, convergence, and performance in complex AI systems across various applications.
Use Cases
- •Use case: Optimizing neural network training through gradient calculation for faster convergence and improved model accuracy.
Related Terms
Other terms in the Artificial Intelligence category