{
"<h1><a href=\"https://nn.labml.ai/capsule_networks/index.html\">Capsule Networks</a></h1>\n<p>This is a <a href=\"https://pytorch.org\">PyTorch</a> implementation/tutorial of <a href=\"https://arxiv.org/abs/1710.09829\">Dynamic Routing Between Capsules</a>.</p>\n<p>Capsule network is a neural network architecture that embeds features as capsules and routes them with a voting mechanism to next layer of capsules.</p>\n<p>Unlike in other implementations of models, we've included a sample, because it is difficult to understand some concepts with just the modules. <a href=\"mnist.html\">This is the annotated code for a model that uses capsules to classify MNIST dataset</a></p>\n<p>This file holds the implementations of the core modules of Capsule Networks.</p>\n<p>I used <a href=\"https://github.com/jindongwang/Pytorch-CapsuleNet\">jindongwang/Pytorch-CapsuleNet</a> to clarify some confusions I had with the paper.</p>\n<p>Here's a notebook for training a Capsule Network on MNIST dataset.</p>\n<p><a href=\"https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/capsule_networks/mnist.ipynb\"><span translate=no>_^_0_^_</span></a> </p>\n": "<h1><a href=\"https://nn.labml.ai/capsule_networks/index.html\">\u80f6\u56ca\u7f51\u7edc</a></h1>\n<p>\u8fd9\u662f<a href=\"https://arxiv.org/abs/1710.09829\">\u80f6\u56ca\u95f4\u52a8\u6001\u8def\u7531</a>\u7684 <a href=\"https://pytorch.org\">PyTorch</a> \u5b9e\u73b0/\u6559\u7a0b\u3002</p>\n<p>Capsule \u7f51\u7edc\u662f\u4e00\u79cd\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u5b83\u4ee5\u80f6\u56ca\u7684\u5f62\u5f0f\u5d4c\u5165\u7279\u5f81\uff0c\u5e76\u901a\u8fc7\u6295\u7968\u673a\u5236\u5c06\u5b83\u4eec\u8def\u7531\u5230\u4e0b\u4e00\u5c42\u80f6\u56ca\u3002</p>\n<p>\u4e0e\u5176\u4ed6\u6a21\u578b\u5b9e\u73b0\u4e0d\u540c\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u793a\u4f8b\uff0c\u56e0\u4e3a\u4ec5\u4f7f\u7528\u6a21\u5757\u5f88\u96be\u7406\u89e3\u67d0\u4e9b\u6982\u5ff5\u3002<a href=\"mnist.html\">\u8fd9\u662f\u4f7f\u7528\u80f6\u56ca\u5bf9 MNIST \u6570\u636e\u96c6\u8fdb\u884c\u5206\u7c7b\u7684\u6a21\u578b\u7684\u5e26\u6ce8\u91ca\u7684\u4ee3\u7801</a></p>\n<p>\u8be5\u6587\u4ef6\u5305\u542b\u4e86 Capsule Networks \u6838\u5fc3\u6a21\u5757\u7684\u5b9e\u73b0\u3002</p>\n<p>\u6211\u7528 <a href=\"https://github.com/jindongwang/Pytorch-CapsuleNet\">jindongwang/pytorch-CapsuleNet</a> \u6765\u6f84\u6e05\u6211\u5bf9\u8fd9\u7bc7\u8bba\u6587\u7684\u4e00\u4e9b\u56f0\u60d1\u3002</p>\n<p>\u8fd9\u662f\u4e00\u672c\u5728 MNIST \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 Capsule \u7f51\u7edc\u7684\u7b14\u8bb0\u672c\u3002</p>\n<p><a href=\"https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/capsule_networks/mnist.ipynb\"><span translate=no>_^_0_^_</span></a></p>\n",
"Capsule Networks": "\u80f6\u56ca\u7f51\u7edc"
}
wehub-resource-sync