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<h1><a href="https://nn.labml.ai/capsule_networks/index.html">胶囊网络</a></h1>
<p>这是<a href="https://arxiv.org/abs/1710.09829">胶囊间动态路由</a>的 <a href="https://pytorch.org">PyTorch</a> 实现/教程。</p>
<p>Capsule 网络是一种神经网络架构，它以胶囊的形式嵌入特征，并通过投票机制将它们路由到下一层胶囊。</p>
<p>与其他模型实现不同，我们提供了一个示例，因为仅使用模块很难理解某些概念。<a href="mnist.html">这是使用胶囊对 MNIST 数据集进行分类的模型的带注释的代码</a></p>
<p>该文件包含了 Capsule Networks 核心模块的实现。</p>
<p>我用 <a href="https://github.com/jindongwang/Pytorch-CapsuleNet">jindongwang/pytorch-CapsuleNet</a> 来澄清我对这篇论文的一些困惑。</p>
<p>这是一本在 MNIST 数据集上训练 Capsule 网络的笔记本。</p>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/capsule_networks/mnist.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>
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