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@@ -694,8 +712,8 @@ document.write(`
<dl class="py function">
<dt class="sig sig-object py" id="mlx.nn.mish">
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><span class="sig-name descname"><span class="pre">mish</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.mish" title="Permalink to this definition">#</a></dt>
<dd><p>Applies the Mish function, element-wise.
Mish: A Self Regularized Non-Monotonic Neural Activation Function.</p>
<dd><p>Applies the Mish function, element-wise.</p>
<p>Mish: A Self Regularized Non-Monotonic Neural Activation Function.</p>
<p>Reference: <a class="reference external" href="https://arxiv.org/abs/1908.08681">https://arxiv.org/abs/1908.08681</a></p>
<div class="math notranslate nohighlight">
\[\text{Mish}(x) = x * \text{Tanh}(\text{Softplus}(x))\]</div>
@@ -715,12 +733,12 @@ Mish: A Self Regularized Non-Monotonic Neural Activation Function.</p>
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