Mathematics and probability · MLD-0224
Convex function
A function whose value along a segment does not exceed the corresponding linear interpolation of endpoint values.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Optimize squared error in ordinary linear regression.
Original caveat
Most deep-network training objectives are nonconvex.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- Original reference URL ↗