Training & Optimization
Loss Function
A function measuring the difference between model predictions and true values, guiding the training process.
Related Concepts
- Cross-Entropy: Explore how Cross-Entropy relates to Loss Function
- MSE: Explore how MSE relates to Loss Function
- Training: Explore how Training relates to Loss Function
- Objective Function: Explore how Objective Function relates to Loss Function
Why It Matters
Understanding Loss Function is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
training-optimization cross-entropy mse training