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‎docs/activations/fta/experiment.html

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‎docs/activations/fta/index.html

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<meta name="description" content="A set of PyTorch implementations/tutorials related to neural network activations"/>
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<meta name="twitter:description" content="A set of PyTorch implementations/tutorials related to neural network activations"/>
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<meta property="og:description" content="A set of PyTorch implementations/tutorials related to neural network activations"/>
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<title>Neural Network Activation Functions</title>
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<a href='#section-0'>#</a>
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<h1>Neural Networks Activations</h1>
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<ul><li><a href="fta/index.html">Fuzzy Tiling Activations</a> </li>
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<li>🚧 <a href="swish/index.html">Swish</a></li></ul>
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<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">.swish</span> <span class="kn">import</span> <span class="n">Swish</span></pre></div>
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<div class="highlight"><pre><span class="lineno">14</span><span></span><span class="kn">from</span> <span class="nn">.swish</span> <span class="kn">import</span> <span class="n">Swish</span></pre></div>
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‎docs/index.html

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<ul><li><a href="adaptive_computation/ponder_net/index.html">PonderNet</a></li></ul>
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<h4>✨ <a href="uncertainty/index.html">Uncertainty</a></h4>
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<ul><li><a href="uncertainty/evidence/index.html">Evidential Deep Learning to Quantify Classification Uncertainty</a></li></ul>
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<h4>✨ <a href="activations/index.html">Activations</a></h4>
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<ul><li><a href="activations/fta/index.html">Fuzzy Tiling Activations</a></li></ul>
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<h2>Highlighted Research Paper PDFs</h2>
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<ul><li><a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/blob/master/papers/2204.10628.pdf">Autoregressive Search Engines: Generating Substrings as Document Identifiers</a> </li>
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<li><a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/blob/master/papers/2203.15556.pdf">Training Compute-Optimal Large Language Models</a> </li>

‎docs/normalization/deep_norm/experiment.html

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<h1>DeepNorm Experiment</h1>
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<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/normalization/deep_norm/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a> <a href="https://app.labml.ai/run/ec8e4dacb7f311ec8d1cd37d50b05c3d"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen"></a> <a href="https://www.comet.ml/labml/deep-norm/61d817f80ff143c8825fba4aacd431d4?experiment-tab=chart&showOutliers=true&smoothing=0&transformY=smoothing&xAxis=step"><img alt="Open In Comet" src="https://images.labml.ai/images/comet.svg?experiment=deep_norm&file=experiment"></a></p>
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<h1><a href="index.html">DeepNorm</a> Experiment</h1>
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