MLPBlock
========

Multilayer perceptron block composed of multiple FeedForward layers.

**Abstract Signature:**

``MLPBlock(in_features: int, hidden_features: int, out_features: int)``

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        <div id="PyTorch_0" class="op-tab-pane active"><h4>PyTorch</h4><div class="op-detail-row"><span class="label">API:</span> <code>torchvision.ops.MLP</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://pytorch.org/docs/stable/generated/torchvision.ops.MLP.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Keras_1" class="op-tab-pane "><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.Sequential</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (keras_sequential_pack)</span></div></div><div id="PaxML / Praxis_2" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>paxml.layers.MLPBlock</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://github.com/search?q=repo%3Agoogle%2Fpaxml+paxml.layers.MLPBlock&type=code" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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