{"id":152,"date":"2024-02-24T10:51:21","date_gmt":"2024-02-24T10:51:21","guid":{"rendered":"https:\/\/www.finally.mobi\/?p=152"},"modified":"2024-02-24T10:53:08","modified_gmt":"2024-02-24T10:53:08","slug":"152","status":"publish","type":"post","link":"https:\/\/www.finally.mobi\/zh\/2024\/02\/24\/152\/","title":{"rendered":"\u7406\u89e3\u6ce8\u610f\u529b\u6a21\u578b"},"content":{"rendered":"

\u6ce8\u610f\u529b\u6a21\u578b<\/strong> \u6df1\u5ea6\u5b66\u4e60\u5141\u8bb8\u795e\u7ecf\u7f51\u7edc\u4e13\u6ce8\u4e8e\u4e0e\u5f53\u524d\u4efb\u52a1\u6700\u76f8\u5173\u7684\u8f93\u5165\u6570\u636e\u7684\u7279\u5b9a\u90e8\u5206\uff0c\u4ece\u800c\u5f7b\u5e95\u6539\u53d8\u4e86\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49\u9886\u57df\u3002<\/p>\n\n\n\n

\u4ec0\u4e48\u662f\u6ce8\u610f\u529b\u6a21\u578b\uff1f<\/h3>\n\n\n\n

\u5176\u6838\u5fc3\u662f \u6ce8\u610f\u529b\u6a21\u578b<\/strong> \u662f\u795e\u7ecf\u7f51\u7edc\u7684\u4e00\u4e2a\u7ec4\u4ef6\uff0c\u5b83\u4e3a\u8f93\u5165\u6570\u636e\u7684\u4e0d\u540c\u90e8\u5206\u5206\u914d\u91cd\u8981\u6027\u7ea7\u522b\u6216\u201c\u6ce8\u610f\u529b\u201d\u3002\u53d7\u4eba\u7c7b\u89c6\u89c9\u6ce8\u610f\u529b\u673a\u5236\u7684\u542f\u53d1\uff0c\u6ce8\u610f\u529b\u6a21\u578b\u901a\u8fc7\u9009\u62e9\u6027\u5730\u5173\u6ce8\u5173\u952e\u4fe1\u606f\u800c\u5ffd\u7565\u4e0d\u592a\u76f8\u5173\u7684\u7ec6\u8282\u6765\u589e\u5f3a\u795e\u7ecf\u7f51\u7edc\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u5728 NLP \u4efb\u52a1\u4e2d\uff0c\u6ce8\u610f\u529b\u6a21\u578b\u53ef\u4ee5\u5e2e\u52a9\u7f51\u7edc\u66f4\u591a\u5730\u5173\u6ce8\u53e5\u5b50\u4e2d\u7684\u67d0\u4e9b\u5355\u8bcd\uff0c\u4ece\u800c\u63d0\u9ad8\u7406\u89e3\u80fd\u529b\u3002\u8fd9\u4e9b\u6a21\u578b\u53ef\u4ee5\u96c6\u6210\u5230\u5404\u79cd\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u4e2d\uff0c\u5305\u62ec\u5faa\u73af\u795e\u7ecf\u7f51\u7edc (RNN)\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc (CNN) \u4ee5\u53ca\u6700\u8fd1\u7684 Transformer \u6a21\u578b\u3002<\/p>\n\n\n\n

\u6ce8\u610f\u529b\u6a21\u578b\u5982\u4f55\u8fd0\u4f5c\uff1f<\/h3>\n\n\n\n

\u6ce8\u610f\u529b\u6a21\u578b\u7684\u57fa\u672c\u64cd\u4f5c\u6d89\u53ca\u4e09\u4e2a\u4e3b\u8981\u7ec4\u6210\u90e8\u5206\uff1a<\/p>\n\n\n\n

    \n
  1. \u67e5\u8be2<\/strong>\uff1a\u6e90\u81ea\u8f93\u5165\u6570\u636e\u7684\u67e5\u8be2\u4ee3\u8868\u6a21\u578b\u7684\u5f53\u524d\u72b6\u6001\u3002<\/li>\n\n\n\n
  2. \u6309\u952e<\/strong>\uff1a\u8f93\u5165\u5e8f\u5217\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u4e0e\u4e00\u4e2a\u952e\u76f8\u5173\u8054\u3002\u6309\u952e\u6355\u6349\u57fa\u672c\u7279\u5f81\u3002<\/li>\n\n\n\n
  3. \u4ef7\u503c\u89c2<\/strong>\uff1a\u503c\u5bf9\u5e94\u4e8e\u4e0e\u6bcf\u4e2a\u8f93\u5165\u5143\u7d20\u5173\u8054\u7684\u5b9e\u9645\u4fe1\u606f\u3002<\/li>\n<\/ol>\n\n\n\n

    \u4ee5\u4e0b\u662f\u6ce8\u610f\u529b\u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406\uff1a<\/p>\n\n\n\n

      \n
    1. \u6bd4\u8f83<\/strong>\uff1a\u4f7f\u7528\u517c\u5bb9\u6027\u51fd\u6570\uff08\u4f8b\u5982\uff0c\u70b9\u79ef\u6216\u795e\u7ecf\u7f51\u7edc\uff09\u5c06\u67e5\u8be2\u4e0e\u6240\u6709\u952e\u8fdb\u884c\u6bd4\u8f83\u3002\u8fd9\u79cd\u6bd4\u8f83\u4f1a\u4ea7\u751f\u6ce8\u610f\u529b\u5206\u6570\u3002<\/li>\n\n\n\n
    2. \u6b63\u5e38\u5316<\/strong>\uff1a\u6ce8\u610f\u529b\u5206\u6570\u88ab\u6807\u51c6\u5316\uff08\u901a\u5e38\u901a\u8fc7 softmax \u51fd\u6570\uff09\u4ee5\u521b\u5efa\u6ce8\u610f\u529b\u6743\u91cd\u2014\u2014\u6982\u7387\u5206\u5e03\u3002<\/li>\n\n\n\n
    3. \u805a\u5408<\/strong>\uff1a\u57fa\u4e8e\u6ce8\u610f\u529b\u6743\u91cd\u7684\u503c\u7684\u52a0\u6743\u548c\uff0c\u8868\u793a\u6a21\u578b\u5e94\u5173\u6ce8\u7684\u805a\u5408\u4fe1\u606f\u3002<\/li>\n\n\n\n
    4. \u8fdb\u4e00\u6b65\u5904\u7406<\/strong>\uff1a\u805a\u5408\u7684\u4fe1\u606f\u7136\u540e\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u7684\u5176\u4ed6\u5c42\u4f20\u9012\u4ee5\u4ea7\u751f\u6700\u7ec8\u8f93\u51fa\u3002<\/li>\n<\/ol>\n\n\n\n

      \u6ce8\u610f\u529b\u673a\u5236\u7684\u7c7b\u578b<\/h3>\n\n\n\n
        \n
      1. \u5168\u5c40\uff08\u8f6f\uff09\u6ce8\u610f\u529b<\/strong>:\n
          \n
        • \u8ba1\u7b97\u6ce8\u610f\u529b\u6743\u91cd\u65f6\u8003\u8651\u8f93\u5165\u6570\u636e\u7684\u6240\u6709\u90e8\u5206\u3002<\/li>\n\n\n\n
        • \u5b8c\u5168\u53ef\u5fae\u7684\u673a\u5236\u3002<\/li>\n\n\n\n
        • \u5e7f\u6cdb\u5e94\u7528\u4e8e\u673a\u5668\u7ffb\u8bd1\u548c\u6587\u672c\u6458\u8981\u7b49\u5e8f\u5217\u5230\u5e8f\u5217\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u672c\u5730\uff08\u786c\uff09\u6ce8\u610f\u529b<\/strong>:\n
            \n
          • \u4e13\u6ce8\u4e8e\u8f93\u5165\u6570\u636e\u7684\u5b50\u96c6\uff08\u7531\u5b66\u4e60\u7684\u5bf9\u9f50\u6a21\u578b\u786e\u5b9a\uff09\u3002<\/li>\n\n\n\n
          • \u8ba1\u7b97\u6210\u672c\u8f83\u4f4e\uff0c\u4f46\u5f15\u5165\u4e86\u4e0d\u53ef\u5fae\u5206\u8fd0\u7b97\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
          • \u81ea\u6ce8\u610f\u529b\uff08\u5185\u90e8\u6ce8\u610f\u529b\uff09<\/strong>:\n
              \n
            • \u5141\u8bb8\u5355\u4e2a\u5e8f\u5217\u4e2d\u7684\u4e0d\u540c\u4f4d\u7f6e\u76f8\u4e92\u5173\u6ce8\u3002<\/li>\n\n\n\n
            • \u5728\u53d8\u538b\u5668\u6a21\u578b\u4e2d\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

              \u603b\u4e4b\uff0c\u6ce8\u610f\u529b\u6a21\u578b\u63d0\u4f9b\u4e86\u4e00\u79cd\u901a\u8fc7\u52a8\u6001\u5173\u6ce8\u76f8\u5173\u4fe1\u606f\u6765\u589e\u5f3a\u795e\u7ecf\u7f51\u7edc\u6027\u80fd\u7684\u5f3a\u5927\u65b9\u6cd5\u3002\u65e0\u8bba\u60a8\u662f\u7834\u8bd1\u8bed\u8a00\u8fd8\u662f\u5206\u6790\u56fe\u50cf\uff0c\u6ce8\u610f\u529b\u90fd\u662f\u5173\u952e\uff01 \ud83c\udf1f<\/p>","protected":false},"excerpt":{"rendered":"

              Attention Models in deep learning have revolutionized fields like natural language processing (NLP) and computer vision by allowing neural networks to focus on specific parts of input data that are most relevant to the task at hand. What Are Attention Models? At its core, an attention model is a component of a neural network that […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-152","post","type-post","status-publish","format-standard","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/152","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/comments?post=152"}],"version-history":[{"count":3,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/152\/revisions"}],"predecessor-version":[{"id":155,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/152\/revisions\/155"}],"wp:attachment":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/media?parent=152"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/categories?post=152"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/tags?post=152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}