Hyperparameter
Configuration settings external to the model (learning rate, batch size) that must be set before training begins.
Related Concepts
- Learning Rate: Explore how Learning Rate relates to Hyperparameter
- Batch Size: Explore how Batch Size relates to Hyperparameter
- Hyperparameter Tuning: Explore how Hyperparameter Tuning relates to Hyperparameter
Why It Matters
Understanding Hyperparameter is crucial for anyone working with advanced concepts. 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.
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Related Terms
Batch Size
The number of training examples processed together in one forward/backward pass.
Hyperparameter Tuning
The process of finding optimal hyperparameter values through techniques like grid search, random search, or Bayesian optimization.
Learning Rate
A hyperparameter controlling the step size in gradient descent - too high causes instability, too low slows convergence.