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Error corrected in doc blocks.tex #1131

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Error corrected in doc blocks.tex #1131

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2 changes: 1 addition & 1 deletion doc/blocks.tex
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Expand Up @@ -336,7 +336,7 @@ \subsection{Classification losses}\label{s:loss-classification}

Unless otherwise noted, we drop the other indices and denote by $\bx$ and $c$ the slice $\bx_{ij:n}$ and the scalar $c_{ij1n}$. !vl_nnloss! automatically skips all samples such that $c=0$, which can be used as an ``ignore'' label.

\paragraph{Classification error.} The classification error is zero if class $c$ is assigned the largest score and zero otherwise:
\paragraph{Classification error.} The classification error is zero if class $c$ is assigned the largest score and one otherwise:
\begin{equation}\label{e:loss-classerror}
\ell(\bx,c) = \mathbf{1}\left[c \not= \argmax_k x_c\right].
\end{equation}
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