📕 subnode [[@KGBicheno/rank_(tensor)]]
in 📚 node [[rank_(tensor)]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Rank_(Tensor).md by @KGBicheno
rank (Tensor)
Go back to the [[AI Glossary]]
The number of dimensions in a Tensor. For instance, a scalar has rank 0, a vector has rank 1, and a matrix has rank 2.
Not to be confused with rank (ordinality).
📖 stoas
- public document at doc.anagora.org/rank_(tensor)
- video call at meet.jit.si/rank_(tensor)