{"id":44065,"date":"2023-12-11T15:01:43","date_gmt":"2023-12-11T07:01:43","guid":{"rendered":"https:\/\/wx.kaifamiao.info\/?p=44065"},"modified":"2023-12-11T15:01:43","modified_gmt":"2023-12-11T07:01:43","slug":"%e6%a2%af%e5%ba%a6%e7%88%86%e7%82%b8%e4%bc%9a%e5%bc%95%e5%8f%91%e4%bb%80%e4%b9%88%ef%bc%9f","status":"publish","type":"post","link":"http:\/\/wx.kaifamiao.info\/index.php\/2023\/12\/11\/%e6%a2%af%e5%ba%a6%e7%88%86%e7%82%b8%e4%bc%9a%e5%bc%95%e5%8f%91%e4%bb%80%e4%b9%88%ef%bc%9f\/","title":{"rendered":"\u68af\u5ea6\u7206\u70b8\u4f1a\u5f15\u53d1\u4ec0\u4e48\uff1f"},"content":{"rendered":"<p>&#8220;`&#8221;                    \u5728\u6df1\u5ea6\u591a\u5c42\u611f\u77e5\u673a\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u4f1a\u5f15\u8d77\u7f51\u7edc\u4e0d\u7a33\u5b9a\uff0c\u6700\u597d\u7684\u7ed3\u679c\u662f\u65e0\u6cd5\u4ece\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u800c\u6700\u574f\u7684\u7ed3\u679c\u662f\u51fa\u73b0\u65e0\u6cd5\u518d\u66f4\u65b0\u7684 NaN \u6743\u91cd\u503c\u3002 \u68af\u5ea6\u7206\u70b8\u5bfc\u81f4\u5b66\u4e60\u8fc7\u7a0b\u4e0d\u7a33\u5b9a\u3002&mdash;\u300a\u6df1\u5ea6\u5b66\u4e60\u300b\uff0c2016. \u5728\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u4f1a\u5bfc\u81f4\u7f51\u7edc\u4e0d\u7a33\u5b9a\uff0c\u65e0\u6cd5\u5229\u7528\u8bad\u7ec3\u6570\u636e\u5b66\u4e60\uff0c\u6700\u597d\u7684\u7ed3\u679c\u662f\u7f51\u7edc\u65e0\u6cd5\u5b66\u4e60\u957f\u7684\u8f93\u5165\u5e8f\u5217\u6570\u636e\u3002<\/p>\n<p>\u6709\u5f88\u591a\u65b9\u6cd5\u53ef\u4ee5\u89e3\u51b3\u68af\u5ea6\u7206\u70b8\u95ee\u9898\uff0c\u672c\u8282\u5217\u4e3e\u4e86\u4e00\u4e9b\u6700\u4f73\u5b9e\u9a8c\u65b9\u6cd5\u3002<\/p>\n<p>&lt;ol start=&quot;&quot;&quot;&quot;&gt;<br \/>\n&lt;li&gt;\u91cd\u65b0\u8bbe\u8ba1\u7f51\u7edc\u6a21\u578b \u5728\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u53ef\u4ee5\u901a\u8fc7\u91cd\u65b0\u8bbe\u8ba1\u5c42\u6570\u66f4\u5c11\u7684\u7f51\u7edc\u6765\u89e3\u51b3\u3002 \u4f7f\u7528\u66f4\u5c0f\u7684\u6279\u5c3a\u5bf8\u5bf9\u7f51\u7edc\u8bad\u7ec3\u4e5f\u6709\u597d\u5904\u3002 \u5728\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5728\u66f4\u5c11\u7684\u5148\u524d\u65f6\u95f4\u6b65\u4e0a\u8fdb\u884c\u66f4\u65b0\uff08\u6cbf\u65f6\u95f4\u7684\u622a\u65ad\u53cd\u5411\u4f20\u64ad\uff0ctruncated Backpropagation through time\uff09\u53ef\u4ee5\u7f13\u89e3\u68af\u5ea6\u7206\u70b8\u95ee\u9898\u3002&lt;\/li&gt;<br \/>\n&lt;li&gt;\u4f7f\u7528 ReLU \u6fc0\u6d3b\u51fd\u6570 \u5728\u6df1\u5ea6\u591a\u5c42\u611f\u77e5\u673a\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u7684\u53d1\u751f\u53ef\u80fd\u662f\u56e0\u4e3a\u6fc0\u6d3b\u51fd\u6570\uff0c\u5982\u4e4b\u524d\u5f88\u6d41\u884c\u7684 Sigmoid \u548c Tanh \u51fd\u6570\u3002 \u4f7f\u7528 ReLU \u6fc0\u6d3b\u51fd\u6570\u53ef\u4ee5\u51cf\u5c11\u68af\u5ea6\u7206\u70b8\u3002\u91c7\u7528 ReLU \u6fc0\u6d3b\u51fd\u6570\u662f\u6700\u9002\u5408\u9690\u85cf\u5c42\u7684\u65b0\u5b9e\u8df5\u3002&lt;\/li&gt;<br \/>\n&lt;li&gt;\u4f7f\u7528\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc \u5728\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u7684\u53d1\u751f\u53ef\u80fd\u662f\u56e0\u4e3a\u67d0\u79cd\u7f51\u7edc\u7684\u8bad\u7ec3\u672c\u8eab\u5c31\u5b58\u5728\u4e0d\u7a33\u5b9a\u6027\uff0c\u5982\u968f\u65f6\u95f4\u7684\u53cd\u5411\u4f20\u64ad\u672c\u8d28\u4e0a\u5c06\u5faa\u73af\u7f51\u7edc\u8f6c\u6362\u6210\u6df1\u5ea6\u591a\u5c42\u611f\u77e5\u673a\u795e\u7ecf\u7f51\u7edc\u3002 \u4f7f\u7528\u957f\u77ed\u671f\u8bb0\u5fc6\uff08LSTM\uff09\u5355\u5143\u548c\u76f8\u5173\u7684\u95e8\u7c7b\u578b\u795e\u7ecf\u5143\u7ed3\u6784\u53ef\u4ee5\u51cf\u5c11\u68af\u5ea6\u7206\u70b8\u95ee\u9898\u3002 \u91c7\u7528 LSTM \u5355\u5143\u662f\u9002\u5408\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u7684\u5e8f\u5217\u9884\u6d4b\u7684\u6700\u65b0\u6700\u597d\u5b9e\u8df5\u3002&lt;\/li&gt;<br \/>\n&lt;li&gt;\u4f7f\u7528\u68af\u5ea6\u622a\u65ad\uff08Gradient Clipping\uff09 \u5728\u975e\u5e38\u6df1\u4e14\u6279\u5c3a\u5bf8\u8f83\u5927\u7684\u591a\u5c42\u611f\u77e5\u673a\u7f51\u7edc\u548c\u8f93\u5165\u5e8f\u5217\u8f83\u957f\u7684 LSTM \u4e2d\uff0c\u4ecd\u7136\u6709\u53ef\u80fd\u51fa\u73b0\u68af\u5ea6\u7206\u70b8\u3002\u5982\u679c\u68af\u5ea6\u7206\u70b8\u4ecd\u7136\u51fa\u73b0\uff0c\u4f60\u53ef\u4ee5\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u68c0\u67e5\u548c\u9650\u5236\u68af\u5ea6\u7684\u5927\u5c0f\u3002\u8fd9\u5c31\u662f\u68af\u5ea6\u622a\u65ad\u3002 \u5904\u7406\u68af\u5ea6\u7206\u70b8\u6709\u4e00\u4e2a\u7b80\u5355\u6709\u6548\u7684\u89e3\u51b3\u65b9\u6848\uff1a\u5982\u679c\u68af\u5ea6\u8d85\u8fc7\u9608\u503c\uff0c\u5c31\u622a\u65ad\u5b83\u4eec\u3002 \u2014\u2014\u300aNeural Network Methods in Natural Language Processing\u300b\uff0c2017. \u5177\u4f53\u6765\u8bf4\uff0c\u68c0\u67e5\u8bef\u5dee\u68af\u5ea6\u7684\u503c\u662f\u5426\u8d85\u8fc7\u9608\u503c\uff0c\u5982\u679c\u8d85\u8fc7\uff0c\u5219\u622a\u65ad\u68af\u5ea6\uff0c\u5c06\u68af\u5ea6\u8bbe\u7f6e\u4e3a\u9608\u503c\u3002 \u68af\u5ea6\u622a\u65ad\u53ef\u4ee5\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7f13\u89e3\u68af\u5ea6\u7206\u70b8\u95ee\u9898\uff08\u68af\u5ea6\u622a\u65ad\uff0c\u5373\u5728\u6267\u884c\u68af\u5ea6\u4e0b\u964d\u6b65\u9aa4\u4e4b\u524d\u5c06\u68af\u5ea6\u8bbe\u7f6e\u4e3a\u9608\u503c\uff09\u3002 \u2014\u2014\u300a\u6df1\u5ea6\u5b66\u4e60\u300b\uff0c2016. \u5728 Keras \u6df1\u5ea6\u5b66\u4e60\u5e93\u4e2d\uff0c\u4f60\u53ef\u4ee5\u5728\u8bad\u7ec3\u4e4b\u524d\u8bbe\u7f6e\u4f18\u5316\u5668\u4e0a\u7684 clipnorm \u6216 clipvalue \u53c2\u6570\uff0c\u6765\u4f7f\u7528\u68af\u5ea6\u622a\u65ad\u3002 \u9ed8\u8ba4\u503c\u4e3a clipnorm=1.0 \u3001clipvalue=0.5\u3002\u8be6\u89c1\uff1a&lt;a class=&quot;&quot;url&quot;&quot; href=&quot;&quot;https:\/\/keras.io\/optimizers\/&quot;&quot; target=&quot;&quot;_blank&quot;&quot;&gt;https:\/\/keras.io\/optimizers\/&lt;\/a&gt;\u3002&lt;\/li&gt;<br \/>\n&lt;li&gt;\u4f7f\u7528\u6743\u91cd\u6b63\u5219\u5316\uff08Weight Regularization\uff09 \u5982\u679c\u68af\u5ea6\u7206\u70b8\u4ecd\u7136\u5b58\u5728\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u53e6\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u68c0\u67e5\u7f51\u7edc\u6743\u91cd\u7684\u5927\u5c0f\uff0c\u5e76\u60e9\u7f5a\u4ea7\u751f\u8f83\u5927\u6743\u91cd\u503c\u7684\u635f\u5931\u51fd\u6570\u3002\u8be5\u8fc7\u7a0b\u88ab\u79f0\u4e3a\u6743\u91cd\u6b63\u5219\u5316\uff0c\u901a\u5e38\u4f7f\u7528\u7684\u662f L1 \u60e9\u7f5a\u9879\uff08\u6743\u91cd\u7edd\u5bf9\u503c\uff09\u6216 L2 \u60e9\u7f5a\u9879\uff08\u6743\u91cd\u5e73\u65b9\uff09\u3002 \u5bf9\u5faa\u73af\u6743\u91cd\u4f7f\u7528 L1 \u6216 L2 \u60e9\u7f5a\u9879\u6709\u52a9\u4e8e\u7f13\u89e3\u68af\u5ea6\u7206\u70b8\u3002 \u2014\u2014On the difficulty of training recurrent neural networks\uff0c2013. \u5728 Keras \u6df1\u5ea6\u5b66\u4e60\u5e93\u4e2d\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728\u5c42\u4e0a\u8bbe\u7f6e kernel_regularizer \u53c2\u6570\u548c\u4f7f\u7528 L1 \u6216 L2 \u6b63\u5219\u5316\u9879\u8fdb\u884c\u6743\u91cd\u6b63\u5219\u5316\u3002&lt;\/li&gt;<br \/>\n&lt;\/ol&gt;<\/p>\n<p>&lt;pre&gt;&lt;code&gt;            &quot;&#8220;`<br \/>\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;`&#8221; \u5728\u6df1\u5ea6\u591a\u5c42\u611f\u77e5\u673a\u7f51\u7edc\u4e2d\uff0c\u68af\u5ea6\u7206\u70b8\u4f1a\u5f15\u8d77\u7f51\u7edc\u4e0d\u7a33\u5b9a\uff0c\u6700\u597d\u7684\u7ed3\u679c\u662f\u65e0\u6cd5\u4ece\u8bad\u7ec3\u6570\u636e\u4e2d [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-44065","post","type-post","status-publish","format-standard","hentry","category-c"],"_links":{"self":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/comments?post=44065"}],"version-history":[{"count":1,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44065\/revisions"}],"predecessor-version":[{"id":44066,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44065\/revisions\/44066"}],"wp:attachment":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/media?parent=44065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/categories?post=44065"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/tags?post=44065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}