adam_warmup.zh.json

{
 "<h1>Adam Optimizer with Warmup</h1>\n<p>This extends <a href=\"amsgrad.html\">AMSGrad optimizer</a> and adds a warmup stage.</p>\n": "<h1>Adam Optimizer \u5e26\u70ed\u8eab</h1>\n<p>\u8fd9\u6269\u5c55\u4e86 <a href=\"amsgrad.html\">AmsGrad \u4f18\u5316\u5668</a>\u5e76\u589e\u52a0\u4e86\u9884\u70ed\u9636\u6bb5\u3002</p>\n",
 "<h2>Adam Optimizer with Warmup</h2>\n<p>This class extends from AMSGrad optimizer defined in <a href=\"amsgrad.html\"><span translate=no>_^_0_^_</span></a>.</p>\n": "<h2>Adam Optimizer \u5e26\u70ed\u8eab</h2>\n<p>\u8fd9\u4e2a\u7c7b\u662f\u4ece\u4e2d\u5b9a\u4e49\u7684 AmsGrad \u4f18\u5316\u5668\u6269\u5c55\u800c\u6765\u7684<a href=\"amsgrad.html\"><span translate=no>_^_0_^_</span></a>\u3002</p>\n",
 "<h3>Get learning-rate</h3>\n<p><span translate=no>_^_0_^_</span> where <span translate=no>_^_1_^_</span> is the number of warmup steps.</p>\n": "<h3>\u83b7\u53d6\u5b66\u4e60\u7387</h3>\n<p><span translate=no>_^_0_^_</span>\u5176\u4e2d<span translate=no>_^_1_^_</span>\u662f\u9884\u70ed\u6b65\u9aa4\u7684\u6570\u91cf\u3002</p>\n",
 "<h3>Initialize the optimizer</h3>\n<ul><li><span translate=no>_^_0_^_</span> is the list of parameters </li>\n<li><span translate=no>_^_1_^_</span> is the learning rate <span translate=no>_^_2_^_</span> </li>\n<li><span translate=no>_^_3_^_</span> is a tuple of (<span translate=no>_^_4_^_</span>, <span translate=no>_^_5_^_</span>) </li>\n<li><span translate=no>_^_6_^_</span> is <span translate=no>_^_7_^_</span> or <span translate=no>_^_8_^_</span> based on <span translate=no>_^_9_^_</span> </li>\n<li><span translate=no>_^_10_^_</span> is an instance of class <span translate=no>_^_11_^_</span> defined in <a href=\"index.html\"><span translate=no>_^_12_^_</span></a> </li>\n<li>&#x27;optimized_update&#x27; is a flag whether to optimize the bias correction of the second moment  by doing it after adding <span translate=no>_^_13_^_</span> </li>\n<li><span translate=no>_^_14_^_</span> is a flag indicating whether to use AMSGrad or fallback to plain Adam </li>\n<li><span translate=no>_^_15_^_</span> number of warmup steps </li>\n<li><span translate=no>_^_16_^_</span> is a dictionary of default for group values.  This is useful when you want to extend the class <span translate=no>_^_17_^_</span>.</li></ul>\n": "<h3>\u521d\u59cb\u5316\u4f18\u5316\u5668</h3>\n<ul><li><span translate=no>_^_0_^_</span>\u662f\u53c2\u6570\u5217\u8868</li>\n<li><span translate=no>_^_1_^_</span>\u662f\u5b66\u4e60\u7387<span translate=no>_^_2_^_</span></li>\n<li><span translate=no>_^_3_^_</span>\u662f (<span translate=no>_^_4_^_</span>,<span translate=no>_^_5_^_</span>) \u7684\u5143\u7ec4</li>\n<li><span translate=no>_^_6_^_</span>\u662f<span translate=no>_^_7_^_</span>\u6216<span translate=no>_^_8_^_</span>\u57fa\u4e8e<span translate=no>_^_9_^_</span></li>\n<li><span translate=no>_^_10_^_</span>\u662f\u5728\u4e2d<span translate=no>_^_11_^_</span>\u5b9a\u4e49\u7684\u7c7b\u7684\u5b9e\u4f8b <a href=\"index.html\"><span translate=no>_^_12_^_</span></a></li>\n<li>\u201coptimized_update\u201d \u662f\u4e00\u4e2a\u6807\u5fd7\uff0c\u5728\u6dfb\u52a0\u540e\u662f\u5426\u8981\u4f18\u5316\u7b2c\u4e8c\u4e2a\u65f6\u523b\u7684\u504f\u5dee\u6821\u6b63<span translate=no>_^_13_^_</span></li>\n<li><span translate=no>_^_14_^_</span>\u662f\u4e00\u4e2a\u6807\u5fd7\uff0c\u6307\u793a\u662f\u4f7f\u7528 AmsGrad \u8fd8\u662f\u56de\u9000\u5230\u666e\u901a\u7684 Adam</li>\n<li><span translate=no>_^_15_^_</span>\u9884\u70ed\u6b65\u6570</li>\n<li><span translate=no>_^_16_^_</span>\u662f\u7ec4\u503c\u7684\u9ed8\u8ba4\u5b57\u5178\u3002\u5f53\u4f60\u60f3\u6269\u5c55\u7c7b\u65f6\uff0c\u8fd9\u5f88\u6709\u7528<span translate=no>_^_17_^_</span>\u3002</li></ul>\n",
 "<p>A linearly increasing learning rate from <span translate=no>_^_0_^_</span> to <span translate=no>_^_1_^_</span> </p>\n": "<p>\u5b66\u4e60\u7387\u4ece\u7ebf\u6027\u589e\u52a0<span translate=no>_^_0_^_</span>\u5230<span translate=no>_^_1_^_</span></p>\n",
 "<p>Constant learning rate <span translate=no>_^_0_^_</span> </p>\n": "<p>\u6301\u7eed\u7684\u5b66\u4e60\u901f\u7387<span translate=no>_^_0_^_</span></p>\n",
 "<p>If we are in warmup stage </p>\n": "<p>\u5982\u679c\u6211\u4eec\u5904\u4e8e\u70ed\u8eab\u9636\u6bb5</p>\n",
 "A simple PyTorch implementation/tutorial of Adam optimizer with warm-up.": "\u4e00\u4e2a\u7b80\u5355\u7684 PyTorch \u5b9e\u73b0/\u6559\u7a0b\u7684 Adam \u4f18\u5316\u5668\uff0c\u5e26\u6709\u9884\u70ed\u529f\u80fd\u3002",
 "Adam optimizer with warm-up": "\u5e26\u70ed\u8eab\u529f\u80fd\u7684 Adam \u4f18\u5316\u5668"
}