📚 node [[dimensions]]


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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. 
📖 stoa (open document) at doc.anagora.org/dimensions
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⥅ related node [[week4 numpy in two dimensions lab]]