experiment.zh.json

{
 "<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>\u5728 CIFA <a href=\"index.html\">R 10 \u4e0a\u8bad\u7ec3 convMixer</a></h1>\n<p>\u6b64\u811a\u672c\u5728 CIFAR 10 \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 ConvMixer\u3002</p>\n<p>\u8fd9\u5e76\u4e0d\u662f\u8bd5\u56fe\u91cd\u73b0\u8bba\u6587\u7684\u7ed3\u679c\u3002\u672c\u6587\u4f7f\u7528 <a href=\"https://github.com/rwightman/pytorch-image-models\">PyTorch \u56fe\u50cf\u6a21\u578b (timm) \u4e2d\u5b58\u5728\u7684\u56fe\u50cf</a>\u589e\u5f3a\u8fdb\u884c\u8bad\u7ec3\u3002\u4e3a\u4e86\u7b80\u5355\u8d77\u89c1\uff0c\u6211\u4eec\u6ca1\u6709\u8fd9\u6837\u505a\u2014\u2014\u8fd9\u4f1a\u5bfc\u81f4\u6211\u4eec\u7684\u9a8c\u8bc1\u7cbe\u5ea6\u4e0b\u964d\u3002</p>\n",
 "<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>\u914d\u7f6e</h2>\n<p>\u6211\u4eec\u4f7f\u7528<a href=\"../experiments/cifar10.html\"><span translate=no>_^_0_^_</span></a>\u5b83\u6765\u5b9a\u4e49\u6240\u6709\u4e0e\u6570\u636e\u96c6\u76f8\u5173\u7684\u914d\u7f6e\u3001\u4f18\u5316\u5668\u548c\u8bad\u7ec3\u5faa\u73af\u3002</p>\n",
 "<h3>Create model</h3>\n": "<h3>\u521b\u5efa\u6a21\u578b</h3>\n",
 "<p> </p>\n": "<p></p>\n",
 "<p>Create ConvMixer </p>\n": "<p>\u521b\u5efa\u6df7\u97f3\u5668</p>\n",
 "<p>Create configurations </p>\n": "<p>\u521b\u5efa\u914d\u7f6e</p>\n",
 "<p>Create experiment </p>\n": "<p>\u521b\u5efa\u5b9e\u9a8c</p>\n",
 "<p>Do not augment images for validation </p>\n": "<p>\u4e0d\u8981\u6269\u5145\u56fe\u50cf\u4ee5\u8fdb\u884c\u9a8c\u8bc1</p>\n",
 "<p>Kernel size of the depth-wise convolution, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u6df1\u5ea6\u5377\u79ef\u7684\u5185\u6838\u5927\u5c0f\uff0c<span translate=no>_^_0_^_</span></p>\n",
 "<p>Load configurations </p>\n": "<p>\u88c5\u8f7d\u914d\u7f6e</p>\n",
 "<p>Number of <a href=\"#ConvMixerLayer\">ConvMixer layers</a> or depth, <span translate=no>_^_0_^_</span> </p>\n": "<p><a href=\"#ConvMixerLayer\">ConvMixer \u5c42</a>\u6570\u6216\u6df1\u5ea6\uff0c<span translate=no>_^_0_^_</span></p>\n",
 "<p>Number of channels in patch embeddings, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u8865\u4e01\u5d4c\u5165\u4e2d\u7684\u901a\u9053\u6570\uff0c<span translate=no>_^_0_^_</span></p>\n",
 "<p>Number of classes in the task </p>\n": "<p>\u4efb\u52a1\u4e2d\u7684\u7c7b\u6570</p>\n",
 "<p>Optimizer </p>\n": "<p>\u4f18\u5316\u5668</p>\n",
 "<p>Set model for saving/loading </p>\n": "<p>\u8bbe\u7f6e\u4fdd\u5b58/\u52a0\u8f7d\u7684\u6a21\u578b</p>\n",
 "<p>Simple image augmentations </p>\n": "<p>\u7b80\u5355\u7684\u56fe\u50cf\u589e\u5f3a</p>\n",
 "<p>Size of a patch, <span translate=no>_^_0_^_</span> </p>\n": "<p>\u8865\u4e01\u7684\u5927\u5c0f\uff0c<span translate=no>_^_0_^_</span></p>\n",
 "<p>Start the experiment and run the training loop </p>\n": "<p>\u5f00\u59cb\u5b9e\u9a8c\u5e76\u8fd0\u884c\u8bad\u7ec3\u5faa\u73af</p>\n",
 "<p>Training epochs and batch size </p>\n": "<p>\u8bad\u7ec3\u5468\u671f\u548c\u6279\u6b21\u5927\u5c0f</p>\n",
 "Train ConvMixer on CIFAR 10": "\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3 ConvMixer"
}