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Fixed typo in dimensions of bias term #2643

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Fixed typo in dimensions of bias term #2643

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2 changes: 1 addition & 1 deletion chapter_linear-classification/softmax-regression.md
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Expand Up @@ -245,7 +245,7 @@ Assume that we are given a minibatch $\mathbf{X} \in \mathbb{R}^{n \times d}$
of $n$ examples with dimensionality (number of inputs) $d$.
Moreover, assume that we have $q$ categories in the output.
Then the weights satisfy $\mathbf{W} \in \mathbb{R}^{d \times q}$
and the bias satisfies $\mathbf{b} \in \mathbb{R}^{1\times q}$.
and the bias satisfies $\mathbf{b} \in \mathbb{R}^{n \times q}$.

$$ \begin{aligned} \mathbf{O} &= \mathbf{X} \mathbf{W} + \mathbf{b}, \\ \hat{\mathbf{Y}} & = \mathrm{softmax}(\mathbf{O}). \end{aligned} $$
:eqlabel:`eq_minibatch_softmax_reg`
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