Mathematics and probability · MLD-0160
Chain rule
The rule for differentiating compositions of functions.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Propagate derivatives backward through a neural network.
Original caveat
It is a calculus rule, not a training algorithm by itself.
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 ↗