NN1

nn1 is an alphanumeric designation that appears in different contexts and does not have a single, universal meaning. In computer science and machine learning, nn1 is frequently used as a placeholder name for the first neural network in example code or tutorials. In this usage, nn1 denotes a small, typically feedforward network designed to illustrate concepts such as matrix operations, activations, loss calculation, and backpropagation. Architectural specifics vary by author, but common forms include a network with one hidden layer and a handful of neurons, using standard activation functions like sigmoid, tanh, or ReLU, and trained on simple tasks with gradient-based optimization.

In hardware and product labeling, nn1 may be used as a model number, revision tag, or component code within catalogs and design documents. Such usage helps distinguish versions or variants of a device, chip, or module.

In data sets, engineering diagrams, or publications, nn1 can serve as an identifier for a particular experimental node, simulation run, or figure label. The lack of a standardized meaning means the exact interpretation relies on the surrounding documentation.

History and etymology: The term nn often stands for neural network, with 1 indicating the first instance, but there is no formal standard linking all uses of nn1. See also: NN, N1, and other designation conventions in related domains.