Loss Function
AI/ML Fundamentals
Measures how wrong predictions are
What is Loss Function?
Quantifies error between predicted and actual values. Training aims to minimize this.
Real-World Examples
- •Mean Squared Error for regression
- •Cross-entropy for classification
- •Binary cross-entropy
When to Use This
Every supervised learning model needs a loss function
Related Terms
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