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labmlai
GitHub Repository: labmlai/annotated_deep_learning_paper_implementations
Path: blob/master/translate_cache/conv_mixer/experiment.ja.json
4922 views
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{
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"<h1>Train a <a href=\"index.html\">ConvMixer</a> on CIFAR 10</h1>\n<p>This script trains a ConvMixer on CIFAR 10 dataset.</p>\n<p>This is not an attempt to reproduce the results of the paper. The paper uses image augmentations present in <a href=\"https://github.com/rwightman/pytorch-image-models\">PyTorch Image Models (timm)</a> for training. We haven&#x27;t done this for simplicity - which causes our validation accuracy to drop.</p>\n": "<h1>CIFAR 10 <a href=\"index.html\">\u3067\u306e\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u30df\u30ad\u30b5\u30fc\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0</a></h1>\n<p>\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306f\u3001CIFAR 10 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067 ConvMixer \u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u307e\u3059\u3002</p>\n<p>\u3053\u308c\u306f\u8ad6\u6587\u306e\u7d50\u679c\u3092\u518d\u73fe\u3059\u308b\u8a66\u307f\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u3053\u306e\u8ad6\u6587\u3067\u306f\u3001<a href=\"https://github.com/rwightman/pytorch-image-models\">PyTorch\u753b\u50cf\u30e2\u30c7\u30eb\uff08timm\uff09\u306b\u3042\u308b\u753b\u50cf\u62e1\u5f35\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059</a>\u3002\u7c21\u7565\u5316\u306e\u305f\u3081\u306b\u3053\u308c\u3092\u884c\u3063\u305f\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u305d\u306e\u305f\u3081\u3001\u691c\u8a3c\u306e\u7cbe\u5ea6\u304c\u4f4e\u4e0b\u3057\u307e\u3059</p>\u3002\n",
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"<h2>Configurations</h2>\n<p>We use <a href=\"../experiments/cifar10.html\"><span translate=no>_^_0_^_</span></a> which defines all the dataset related configurations, optimizer, and a training loop.</p>\n": "<h2>\u30b3\u30f3\u30d5\u30a3\u30ae\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3</h2>\n<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u95a2\u9023\u3059\u308b\u3059\u3079\u3066\u306e\u69cb\u6210\u3001\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u30fc\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30eb\u30fc\u30d7\u3092\u5b9a\u7fa9\u3059\u308b\u3082\u306e\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059<a href=\"../experiments/cifar10.html\"><span translate=no>_^_0_^_</span></a>\u3002</p>\n",
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"<h3>Create model</h3>\n": "<h3>\u30e2\u30c7\u30eb\u4f5c\u6210</h3>\n",
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"<p> </p>\n": "<p></p>\n",
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"<p>Create ConvMixer </p>\n": "<p>ConvMixer \u306e\u4f5c\u6210</p>\n",
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"<p>Create configurations </p>\n": "<p>\u69cb\u6210\u306e\u4f5c\u6210</p>\n",
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"<p>Create experiment </p>\n": "<p>\u5b9f\u9a13\u3092\u4f5c\u6210</p>\n",
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"<p>Do not augment images for validation </p>\n": "<p>\u691c\u8a3c\u306e\u305f\u3081\u306b\u753b\u50cf\u3092\u88dc\u8db3\u3057\u306a\u3044\u3067\u304f\u3060\u3055\u3044</p>\n",
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"<p>Kernel size of the depth-wise convolution, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u6df1\u3055\u65b9\u5411\u306e\u7573\u307f\u8fbc\u307f\u306e\u30ab\u30fc\u30cd\u30eb\u30b5\u30a4\u30ba\u3001<span translate=no>_^_0_^_</span></p>\n",
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"<p>Load configurations </p>\n": "<p>\u69cb\u6210\u3092\u30ed\u30fc\u30c9</p>\n",
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"<p>Number of <a href=\"#ConvMixerLayer\">ConvMixer layers</a> or depth, <span translate=no>_^_0_^_</span> </p>\n": "<p><a href=\"#ConvMixerLayer\">ConvMixer \u30ec\u30a4\u30e4\u30fc\u306e\u6570\u307e\u305f\u306f\u6df1\u3055</a>\u3001<span translate=no>_^_0_^_</span></p>\n",
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"<p>Number of channels in patch embeddings, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u30d1\u30c3\u30c1\u57cb\u3081\u8fbc\u307f\u306e\u30c1\u30e3\u30f3\u30cd\u30eb\u6570\u3001<span translate=no>_^_0_^_</span></p>\n",
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"<p>Number of classes in the task </p>\n": "<p>\u30bf\u30b9\u30af\u5185\u306e\u30af\u30e9\u30b9\u6570</p>\n",
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"<p>Optimizer </p>\n": "<p>\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u30fc</p>\n",
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"<p>Set model for saving/loading </p>\n": "<p>\u4fdd\u5b58/\u8aad\u307f\u8fbc\u307f\u7528\u306e\u30e2\u30c7\u30eb\u3092\u8a2d\u5b9a</p>\n",
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"<p>Simple image augmentations </p>\n": "<p>\u30b7\u30f3\u30d7\u30eb\u306a\u753b\u50cf\u88dc\u6b63</p>\n",
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"<p>Size of a patch, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u30d1\u30c3\u30c1\u306e\u30b5\u30a4\u30ba\u3001<span translate=no>_^_0_^_</span></p>\n",
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"<p>Start the experiment and run the training loop </p>\n": "<p>\u5b9f\u9a13\u3092\u958b\u59cb\u3057\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30eb\u30fc\u30d7\u3092\u5b9f\u884c\u3057\u307e\u3059</p>\n",
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"<p>Training epochs and batch size </p>\n": "<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30a8\u30dd\u30c3\u30af\u3068\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba</p>\n",
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"Train ConvMixer on CIFAR 10": "CIFAR 10 \u306e\u30c8\u30ec\u30a4\u30f3\u30b3\u30f3\u30d0\u30fc\u30df\u30ad\u30b5\u30fc"
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}
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