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@@ -703,7 +703,7 @@ <h2 id="mixture-density-networks-mdns">Mixture density networks (MDNs)</h2>
 <p>and the probability of a single outcome <span class="arithmatex">\(y\)</span> given a single input <span class="arithmatex">\(\mathbf{x}\)</span> can be written as follows:</p>
 <div class="arithmatex">\[
 p(y|\mathbf{x}) = \sum_{i=1}^{N_m} \pi_i p_i(y|\mu_i,\sigma_i) = 
-  \sum_{i=1}^{N_m} \pi_i \frac{1}{\sqrt{2 \pi \sigma_i^2}} e^{-\frac{||y - \boldsymbol \mu_i||_2^2}{2 \sigma_i^2}}
+  \sum_{i=1}^{N_m} \pi_i \frac{1}{\sqrt{2 \pi \sigma_i^2}} e^{-\frac{(y -  \mu_i)^2}{2 \sigma_i^2}}
 \]</div>
 <p>A few key points worth highlighting for this model:</p>
 <ul>