Hyperparameter
AI/ML Fundamentals
Configuration setting for learning algorithm
What is Hyperparameter?
Parameters set before training (not learned from data). Examples: learning rate, number of layers, batch size.
Real-World Examples
- •Learning rate = 0.001
- •Number of trees in random forest = 100
- •Dropout rate = 0.5
When to Use This
Must be tuned for optimal model performance
Related Terms
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