mnist_experiment.zh.json

{
 "<h1>MNIST example to test the optimizers</h1>\n": "<h1>\u6d4b\u8bd5\u4f18\u5316\u5668\u7684 MNIST \u793a\u4f8b</h1>\n",
 "<h2>Configurable Experiment Definition</h2>\n": "<h2>\u53ef\u914d\u7f6e\u7684\u5b9e\u9a8c\u5b9a\u4e49</h2>\n",
 "<h2>The model</h2>\n": "<h2>\u8be5\u6a21\u578b</h2>\n",
 "<p> Create a configurable optimizer. We can change the optimizer type and hyper-parameters using configurations.</p>\n": "<p>\u521b\u5efa\u53ef\u914d\u7f6e\u7684\u4f18\u5316\u5668\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u914d\u7f6e\u66f4\u6539\u4f18\u5316\u5668\u7c7b\u578b\u548c\u8d85\u53c2\u6570\u3002</p>\n",
 "<p>Add global step if we are in training mode </p>\n": "<p>\u5982\u679c\u6211\u4eec\u5904\u4e8e\u8bad\u7ec3\u6a21\u5f0f\uff0c\u5219\u6dfb\u52a0\u5168\u5c40\u6b65\u957f</p>\n",
 "<p>Calculate the accuracy </p>\n": "<p>\u8ba1\u7b97\u7cbe\u5ea6</p>\n",
 "<p>Calculate the gradients </p>\n": "<p>\u8ba1\u7b97\u68af\u5ea6</p>\n",
 "<p>Calculate the loss </p>\n": "<p>\u8ba1\u7b97\u635f\u5931</p>\n",
 "<p>Clear the gradients </p>\n": "<p>\u6e05\u9664\u6e10\u53d8</p>\n",
 "<p>Get the batch </p>\n": "<p>\u83b7\u53d6\u6279\u6b21</p>\n",
 "<p>Log the loss </p>\n": "<p>\u8bb0\u5f55\u635f\u5931</p>\n",
 "<p>Log the parameter and gradient L2 norms once per epoch </p>\n": "<p>\u6bcf\u4e2a\u7eaa\u5143\u8bb0\u5f55\u4e00\u6b21\u53c2\u6570\u548c\u68af\u5ea6 L2 \u89c4\u8303</p>\n",
 "<p>Optimize if we are in training mode </p>\n": "<p>\u5982\u679c\u6211\u4eec\u5904\u4e8e\u8bad\u7ec3\u6a21\u5f0f\uff0c\u8bf7\u8fdb\u884c\u4f18\u5316</p>\n",
 "<p>Run the model and specify whether to log the activations </p>\n": "<p>\u8fd0\u884c\u6a21\u578b\u5e76\u6307\u5b9a\u662f\u5426\u8bb0\u5f55\u6fc0\u6d3b</p>\n",
 "<p>Save logs </p>\n": "<p>\u4fdd\u5b58\u65e5\u5fd7</p>\n",
 "<p>Specify the optimizer </p>\n": "<p>\u6307\u5b9a\u4f18\u5316\u5668</p>\n",
 "<p>Take optimizer step </p>\n": "<p>\u91c7\u53d6\u4f18\u5316\u5668\u6b65\u9aa4</p>\n",
 "MNIST example to test the optimizers": "\u6d4b\u8bd5\u4f18\u5316\u5668\u7684 MNIST \u793a\u4f8b",
 "This is a simple MNIST example with a CNN model to test the optimizers.": "\u8fd9\u662f\u4e00\u4e2a\u7b80\u5355\u7684 MNIST \u793a\u4f8b\uff0c\u5176\u4e2d\u5305\u542b CNN \u6a21\u578b\u6765\u6d4b\u8bd5\u4f18\u5316\u5668\u3002"
}