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<h1>Functions</h1>
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<span id="nn-functions"></span><h1>Functions<a class="headerlink" href="#functions" title="Permalink to this heading">#</a></h1>
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<p>Layers without parameters (e.g. activation functions) are also provided as
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simple functions.</p>
|
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<table class="autosummary longtable table autosummary">
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<tbody>
|
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<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.gelu.html#mlx.nn.gelu" title="mlx.nn.gelu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gelu</span></code></a>(x)</p></td>
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<td><p>Applies the Gaussian Error Linear Units function.</p></td>
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</tr>
|
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<tr class="row-even"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.gelu_approx.html#mlx.nn.gelu_approx" title="mlx.nn.gelu_approx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gelu_approx</span></code></a>(x)</p></td>
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<td><p>An approximation to Gaussian Error Linear Unit.</p></td>
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</tr>
|
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<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.gelu_fast_approx.html#mlx.nn.gelu_fast_approx" title="mlx.nn.gelu_fast_approx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gelu_fast_approx</span></code></a>(x)</p></td>
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<td><p>A fast approximation to Gaussian Error Linear Unit.</p></td>
|
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</tr>
|
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<tr class="row-even"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.mish.html#mlx.nn.mish" title="mlx.nn.mish"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mish</span></code></a>(x)</p></td>
|
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<td><p>Applies the Mish function, element-wise.</p></td>
|
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</tr>
|
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<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.prelu.html#mlx.nn.prelu" title="mlx.nn.prelu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prelu</span></code></a>(x, alpha)</p></td>
|
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<td><p>Applies the element-wise parametric ReLU.</p></td>
|
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</tr>
|
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<tr class="row-even"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.relu.html#mlx.nn.relu" title="mlx.nn.relu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">relu</span></code></a>(x)</p></td>
|
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<td><p>Applies the Rectified Linear Unit.</p></td>
|
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</tr>
|
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<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.selu.html#mlx.nn.selu" title="mlx.nn.selu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">selu</span></code></a>(x)</p></td>
|
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<td><p>Applies the Scaled Exponential Linear Unit.</p></td>
|
||
</tr>
|
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<tr class="row-even"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.softshrink.html#mlx.nn.softshrink" title="mlx.nn.softshrink"><code class="xref py py-obj docutils literal notranslate"><span class="pre">softshrink</span></code></a>(x[, lambd])</p></td>
|
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<td><p>Applies the Softshrink activation function.</p></td>
|
||
</tr>
|
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<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.silu.html#mlx.nn.silu" title="mlx.nn.silu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">silu</span></code></a>(x)</p></td>
|
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<td><p>Applies the Sigmoid Linear Unit.</p></td>
|
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</tr>
|
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<tr class="row-even"><td><p><a class="reference internal" href="_autosummary_functions/mlx.nn.step.html#mlx.nn.step" title="mlx.nn.step"><code class="xref py py-obj docutils literal notranslate"><span class="pre">step</span></code></a>(x[, threshold])</p></td>
|
||
<td><p>Applies the Step Activation Function.</p></td>
|
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</tr>
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</tbody>
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</table>
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</section>
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