### dimensions Go back to the [[AI Glossary]] Overloaded term having any of the following definitions: The number of levels of coordinates in a Tensor. For example: A scalar has zero dimensions; for example, ["Hello"]. A vector has one dimension; for example, [3, 5, 7, 11]. A matrix has two dimensions; for example, [[2, 4, 18], [5, 7, 14]]. You can uniquely specify a particular cell in a one-dimensional vector with one coordinate; you need two coordinates to uniquely specify a particular cell in a two-dimensional matrix. The number of entries in a feature vector. The number of elements in an embedding layer.