Intuition behind "Transpose Matrix" I have come across the differential $\frac{\partial \bf{w}}{\partial \bf{w}^T}$ many times now, and I notice that it is equivalent to the transpose operator. That is, if we have something of the form $\bf{A}\frac{\partial w}{\partial w^T}$, we can rewrite it as $\bf{A}^T$ whenever the dimensions of $\bf{A}$ and $\frac{\partial \bf{w}}{\partial \bf{w}^T}$ agree. 
Intuitively, the change of $\bf{w}$ with respect to $\bf{w}^T$ is a transpose. Is my intuition valid and is there a way to prove this? 
$\bf{EDIT1}$: To clarify, $\bf{A}$ is a matrix while $\bf{w}$ and $\bf{w}^T$ are vectors. The vector $\bf{w}$ is taken to be a column vector of dimension $n$ and $\bf{A}$ is taken to be a $n \times n$ matrix. From this we have that $\frac{\partial \bf{w}}{\partial \bf{w}^T}$ is a $n \times n$ matrix $\bf{W}$ where $W_{ij} = \frac{\partial \bf{w}_i}{\partial \bf{w}^T_j}$. The question that follows now is, why does $\bf{W}$ act as a transpose operator on $\bf{A}$? 
$\textbf{EDIT2:}$ To give an example, when computing $\nabla_\bf{w}$MSE$_{\text{train}}$ in this post (last response), the author has a step that goes from $\bf{wX^TX}\frac{\partial \bf{w}}{\partial \bf{w}^T}$ to $(\bf{wX^TX})^T$
 A: Sadly, there is no intuition to be learned, only that matrix differential calculus has inconsistent notation.
I wouldn't see $\frac{\partial w}{\partial w}$ as something that "does transposition": the result you mention follows from the linearity of differentiation and from using the denominator convention.
By linearity of differentiation,
$$A \frac{\partial w}{\partial w} = \frac{\partial A w}{\partial w}$$
If we follow numerator convention, this is the Jacobian matrix of the linear function $Aw$, that is a matrix whose $i,j$th element is
$$\frac{\partial A_i^T w}{\partial w_j} ,$$
where $A_i^T$ is the $i$th row of $A$. Then,
$$\left[\frac{\partial A w}{\partial w}\right]_{i,j} =\frac{\partial }{\partial w_j} \sum_{k=1}^m A_{i,k}w_k=A_{i,j},$$
where $A_i^T$ is the $i$th row of $A$, so
$$A \frac{\partial w}{\partial w} = A.$$
If we instead follow denominator convention, then your expression means the gradient of the linear function $Ax$, that is the matrix whose $i,j$ element is
$$\frac{\partial A_j^T w}{\partial w_i}$$
Then
$$\left[\frac{\partial A w}{\partial w}\right]_{i,j}  =\frac{\partial }{\partial w_i} \sum_{k=1}^m A_{j,k}w_k = A_{j,i},$$
so
$$A \frac{\partial w}{\partial w} = A^T.$$
The fact that the author uses a transposed vector at the denominator seems to indicate the numerator convention, however the transposed result hints at a denominator convention. Confusing indeed!
