Training Neural Models

Documentation status: reference — see Maturity and evidence.

Training pipelines must define data provenance, conceptual-to-tensor mapping, train/validation/test separation, metrics, model/version identity and reproducibility. A trained model is an external computational asset until its behavior and deployment contract are explicitly governed.