What does it mean when in a machine learning paper there is $(arg)^{T}$, what does the T does to an arg 3b1b in this 3b1b video on neural networks he puts the: $(w^{l-1})^{T}$

  • $\begingroup$ In what context is this? could you provide the paper so we can see it ourselves? Or even better - quote it. Anyhow, raising to $T$ could be the transpose matrix when in context of linear algebra maths, but it also could just be a regular number and raising some other number to its power. Or, it could be something the authors of the paper defined themselves $\endgroup$
    – nir shahar
    Commented Apr 3, 2021 at 22:44
  • 2
    $\begingroup$ Yeah most likely transpose of a vector or matrix. $\endgroup$
    – awillia91
    Commented Apr 4, 2021 at 0:17
  • 1
    $\begingroup$ Please edit your question to provide more context. $\endgroup$
    – D.W.
    Commented Apr 4, 2021 at 1:42

1 Answer 1


The notation $A^T$ stands for the transpose of a matrix. It is not specific to machine learning, but rather standard notation in linear algebra. Other notations are sometimes used, for example $A'$.

A related operation is the adjoint $A^*$. The transpose and adjoint are equal for real matrices.


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