{ "
This is the PyTorch implementation of optimizer introduced in the paper Attention Is All You Need.
\n": "\u8fd9\u662f\u300a\u6ce8\u610f\u5c31\u662f\u4f60\u6240\u9700\u8981\u7684\u300b\u4e00\u6587\u4e2d\u4ecb\u7ecd\u7684\u4f18\u5316\u5668\u7684 PyTorch \u5b9e\u73b0\u3002
\n", "This class extends from Adam optimizer defined in _^_0_^_.
\n": "\u8fd9\u4e2a\u7c7b\u662f\u4ece\u4e2d\u5b9a\u4e49\u7684 Adam \u4f18\u5316\u5668\u6269\u5c55\u800c\u6765\u7684_^_0_^_\u3002
\n", "_^_0_^_ where _^_1_^_ is the number of warmup steps.
\n": "_^_0_^_\u5176\u4e2d_^_1_^_\u662f\u9884\u70ed\u6b65\u9aa4\u7684\u6570\u91cf\u3002
\n", "_^_0_^_
\n": "_^_0_^_
\n", "_^_0_^_
\n": "_^_0_^_
\n", "Noam optimizer from Attention is All You Need paper": "\u300a\u6ce8\u610f\u5c31\u662f\u4f60\u6240\u9700\u8981\u7684 Noam Optimizer\u300b\u8bba\u6587", "This is a tutorial/implementation of Noam optimizer. Noam optimizer has a warm-up period and then an exponentially decaying learning rate.": "\u8fd9\u662f Noam \u4f18\u5316\u5668\u7684\u6559\u7a0b/\u5b9e\u73b0\u3002Noam \u4f18\u5316\u5668\u6709\u4e00\u4e2a\u9884\u70ed\u671f\uff0c\u7136\u540e\u5b66\u4e60\u7387\u5448\u6307\u6570\u7ea7\u8870\u51cf\u3002" }