large.zh.json

{
 "<h1>Train a large model on CIFAR 10</h1>\n<p>This trains a large model on CIFAR 10 for <a href=\"index.html\">distillation</a>.</p>\n": "<h1>\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3\u4e00\u4e2a\u5927\u578b\u6a21\u578b</h1>\n<p>\u8fd9\u4f1a\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3\u4e00\u4e2a\u7528\u4e8e<a href=\"index.html\">\u84b8\u998f</a>\u7684\u5927\u578b\u6a21\u578b\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",
 "<h3>VGG style model for CIFAR-10 classification</h3>\n<p>This derives from the <a href=\"../experiments/cifar10.html\">generic VGG style architecture</a>.</p>\n": "<h3>\u9002\u7528\u4e8e CIFAR-10 \u5206\u7c7b\u7684 VGG \u6837\u5f0f\u6a21\u578b</h3>\n<p>\u8fd9\u6e90\u4e8e<a href=\"../experiments/cifar10.html\">\u901a\u7528\u7684 VGG \u98ce\u683c\u67b6\u6784</a>\u3002</p>\n",
 "<p> </p>\n": "<p></p>\n",
 "<p> Create a convolution layer and the activations</p>\n": "<p>\u521b\u5efa\u5377\u79ef\u5c42\u548c\u6fc0\u6d3b</p>\n",
 "<p>Batch normalization </p>\n": "<p>\u6279\u91cf\u6807\u51c6\u5316</p>\n",
 "<p>Convolution layer </p>\n": "<p>\u5377\u79ef\u5c42</p>\n",
 "<p>Create a model with given convolution sizes (channels) </p>\n": "<p>\u4f7f\u7528\u7ed9\u5b9a\u7684\u5377\u79ef\u5927\u5c0f\uff08\u901a\u9053\uff09\u521b\u5efa\u6a21\u578b</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>Dropout </p>\n": "<p>\u8f8d\u5b66</p>\n",
 "<p>Load configurations </p>\n": "<p>\u88c5\u8f7d\u914d\u7f6e</p>\n",
 "<p>Print number of parameters in the model </p>\n": "<p>\u6253\u5370\u6a21\u578b\u4e2d\u53c2\u6570\u7684\u6570\u91cf</p>\n",
 "<p>ReLU activation </p>\n": "<p>\u6fc0\u6d3b ReLU</p>\n",
 "<p>Set model for saving/loading </p>\n": "<p>\u8bbe\u7f6e\u4fdd\u5b58/\u52a0\u8f7d\u7684\u6a21\u578b</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 large model on CIFAR 10": "\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3\u4e00\u4e2a\u5927\u578b\u6a21\u578b",
 "Train a large model on CIFAR 10 for distillation.": "\u5728 CIFAR 10 \u4e0a\u8bad\u7ec3\u4e00\u4e2a\u5927\u578b\u6a21\u578b\u8fdb\u884c\u84b8\u998f\u3002"
}