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<h1><a href="https://nn.labml.ai/transformers/gmlp/index.html">MLP (GMLP) にご注意ください</a></h1>
<p>これは、論文「<a href="https://papers.labml.ai/paper/2105.08050">MLPに注意して</a>」<a href="https://pytorch.org">をPyTorchで実装したものです</a>。</p>
<p><strong>この論文では、ゲーティングを備えた多層パーセプトロン（MLP）ベースのアーキテクチャ（GMLPと名付けられています）を紹介します。</strong><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.68333em;vertical-align:0em;"></span><span class="mord mathnormal">L</span></span></span></span></span><em>gMLP</em> ブロックのスタックで構成されています</p>。
<p><a href="https://nn.labml.ai/transformers/gmlp/experiment.html">gMLPモデルベースの自己回帰モデルのトレーニングコードは次のとおりです</a>。</p>
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