experiment.zh.json

{
 "<h1>Train a <a href=\"index.html\">ResNet</a> on CIFAR 10</h1>\n": "<h1>\u5728 CIFA <a href=\"index.html\">R 10 \u4e0a\u8bad\u7ec3 ResNet</a></h1>\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><a href=\"index.html\">ResNet</a> </p>\n": "<p><a href=\"index.html\">ResNet</a></p>\n",
 "<p>Bottleneck sizes </p>\n": "<p>\u74f6\u9888\u5927\u5c0f</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>Kernel size of the initial convolution layer </p>\n": "<p>\u521d\u59cb\u5377\u79ef\u5c42\u7684\u5185\u6838\u5927\u5c0f</p>\n",
 "<p>Linear layer for classification </p>\n": "<p>\u7528\u4e8e\u5206\u7c7b\u7684\u7ebf\u6027\u5c42</p>\n",
 "<p>Load configurations </p>\n": "<p>\u88c5\u8f7d\u914d\u7f6e</p>\n",
 "<p>Move the model to the device </p>\n": "<p>\u5c06\u6a21\u578b\u79fb\u5230\u8bbe\u5907\u4e0a</p>\n",
 "<p>Number fo blocks for each feature map size </p>\n": "<p>\u6bcf\u4e2a\u8981\u7d20\u5730\u56fe\u5927\u5c0f\u7684\u533a\u5757\u6570</p>\n",
 "<p>Number of channels for each feature map size </p>\n": "<p>\u6bcf\u4e2a\u8981\u7d20\u6620\u5c04\u5927\u5c0f\u7684\u901a\u9053\u6570</p>\n",
 "<p>Set model for saving/loading </p>\n": "<p>\u8bbe\u7f6e\u4fdd\u5b58/\u52a0\u8f7d\u7684\u6a21\u578b</p>\n",
 "<p>Stack them </p>\n": "<p>\u5806\u53e0\u5b83\u4eec</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",
 "Train a ResNet on CIFAR 10": "\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3 ResNet"
}