nn14

nn14 is a short alphanumeric identifier used in several technical contexts. It does not denote a single, widely recognized entity on its own, and its meaning is highly context-dependent.

In machine learning and neural networks, the prefix nn commonly stands for neural networks. The suffix 14 may indicate a depth or a version within a project, such as a fourteen-layer architecture or a specific model variant. In this usage, a reference to nn14 often appears in code repositories, research notes, or model checkpoints to distinguish a particular configuration, but the exact architecture or training setup varies by project.

In software development and data workflows, nn14 can serve as a version tag, label for a dataset, or an internal project code. It may appear in configuration files, directory names, or release notes. Because naming schemes are not standardized, the same label can mean different things in different teams or repositories.

Interpretation typically requires project documentation or the surrounding context. If you encounter nn14, review related README files, model cards, or dataset descriptions to determine what specific attributes, such as architecture, data used, or training parameters, are associated with the label in that instance.

See also: neural network, model versioning, dataset naming conventions.