{"id":975727,"date":"2024-12-27T06:15:42","date_gmt":"2024-12-26T22:15:42","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/975727.html"},"modified":"2024-12-27T06:15:44","modified_gmt":"2024-12-26T22:15:44","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%81%9a%e9%97%ae%e7%ad%94","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/975727.html","title":{"rendered":"\u5982\u4f55\u7528python\u505a\u95ee\u7b54"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24200826\/184fd32e-5316-4892-9b4a-90d977bea455.webp\" alt=\"\u5982\u4f55\u7528python\u505a\u95ee\u7b54\" \/><\/p>\n<p><h3>\u5982\u4f55\u7528Python\u505a\u95ee\u7b54<\/h3>\n<\/p>\n<p><p><strong>\u4f7f\u7528Python\u505a\u95ee\u7b54\u53ef\u4ee5\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5e93\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6a21\u578b\u3001API\u670d\u52a1\u7b49\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528NLTK\u8fdb\u884c\u6587\u672c\u9884\u5904\u7406\u3001\u5229\u7528spaCy\u8fdb\u884c\u5b9e\u4f53\u8bc6\u522b\u3001\u901a\u8fc7transformers\u5e93\u8c03\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u5982BERT\u7b49\u65b9\u6cd5\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528transformers\u5e93\u8c03\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u5982BERT\u662f\u5b9e\u73b0\u95ee\u7b54\u7cfb\u7edf\u7684\u4e00\u4e2a\u6709\u6548\u65b9\u6cd5\u3002\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86BERT\u6a21\u578b\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e2d\u7684\u5f3a\u5927\u80fd\u529b\uff0c\u53ef\u4ee5\u7406\u89e3\u4e0a\u4e0b\u6587\u5e76\u63d0\u4f9b\u7cbe\u786e\u7684\u7b54\u6848\u3002<\/p>\n<\/p>\n<p><p>\u5229\u7528transformers\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684BERT\u6a21\u578b\u6765\u5b9e\u73b0\u95ee\u7b54\u529f\u80fd\u3002BERT\uff08Bidirectional Encoder Representations from Transformers\uff09\u662f\u8c37\u6b4c\u63a8\u51fa\u7684\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5df2\u7ecf\u5728\u5404\u79cdNLP\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u8272\u3002\u901a\u8fc7transformers\u5e93\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5730\u52a0\u8f7dBERT\u6a21\u578b\u5e76\u4f7f\u7528\u5b83\u8fdb\u884c\u95ee\u7b54\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u57fa\u7840\u6982\u5ff5\u4e0e\u5de5\u5177<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u73b0\u95ee\u7b54\u7cfb\u7edf\u4e4b\u524d\uff0c\u9700\u8981\u4e86\u89e3\u4e00\u4e9b\u57fa\u7840\u6982\u5ff5\u548c\u5de5\u5177\uff0c\u8fd9\u4e9b\u77e5\u8bc6\u5c06\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u6784\u5efa\u7cfb\u7edf\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09<\/h4>\n<\/p>\n<p><p>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u81f4\u529b\u4e8e\u5f00\u53d1\u80fd\u591f\u7406\u89e3\u548c\u751f\u6210\u4eba\u7c7b\u8bed\u8a00\u7684\u7b97\u6cd5\u3002NLP\u7684\u76ee\u6807\u662f\u5b9e\u73b0\u4eba\u4e0e\u8ba1\u7b97\u673a\u4e4b\u95f4\u7684\u81ea\u7136\u8bed\u8a00\u901a\u4fe1\u3002NLP\u5728\u95ee\u7b54\u7cfb\u7edf\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u56e0\u4e3a\u95ee\u7b54\u7684\u672c\u8d28\u5c31\u662f\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\u3002<\/p>\n<\/p>\n<p><h4>2\u3001Python\u4e2d\u7684NLP\u5e93<\/h4>\n<\/p>\n<p><p>Python\u6709\u8bb8\u591a\u5f3a\u5927\u7684NLP\u5e93\u53ef\u4ee5\u7528\u6765\u6784\u5efa\u95ee\u7b54\u7cfb\u7edf\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>NLTK\uff08Natural Language Toolkit\uff09<\/strong>\uff1a\u4e00\u4e2a\u975e\u5e38\u7ecf\u5178\u7684NLP\u5e93\uff0c\u9002\u5408\u4e8e\u6587\u672c\u9884\u5904\u7406\u3001\u8bcd\u6027\u6807\u6ce8\u3001\u8bed\u6cd5\u5206\u6790\u7b49\u57fa\u7840\u4efb\u52a1\u3002<\/li>\n<li><strong>spaCy<\/strong>\uff1a\u4e00\u4e2a\u7528\u4e8e\u5de5\u4e1a\u7ea7\u522bNLP\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u8bcd\u6027\u6807\u6ce8\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u7b49\u529f\u80fd\u3002<\/li>\n<li><strong>transformers<\/strong>\uff1a\u7531Hugging Face\u63d0\u4f9b\u7684\u5e93\uff0c\u652f\u6301\u591a\u79cd\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5982BERT\u3001GPT-2\u7b49\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u590d\u6742\u7684NLP\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p><h4>3\u3001BERT\u6a21\u578b<\/h4>\n<\/p>\n<p><p>BERT\u662f\u7531Google <a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>\u5f00\u53d1\u7684\u4e00\u79cd\u9884\u8bad\u7ec3\u8bed\u8a00\u8868\u793a\u6a21\u578b\uff0c\u5176\u6838\u5fc3\u662f\u53cc\u5411Transformer\u67b6\u6784\u3002BERT\u901a\u8fc7\u5728\u5927\u89c4\u6a21\u8bed\u6599\u5e93\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u638c\u63e1\u4e86\u8bed\u8a00\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u4ece\u800c\u5728\u8bb8\u591aNLP\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u5353\u8d8a\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u6784\u5efa\u95ee\u7b54\u7cfb\u7edf\u7684\u6b65\u9aa4<\/h3>\n<\/p>\n<p><p>\u6784\u5efa\u4e00\u4e2a\u95ee\u7b54\u7cfb\u7edf\u901a\u5e38\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u6587\u672c\u9884\u5904\u7406<\/h4>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u95ee\u7b54\u4efb\u52a1\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u5bf9\u6587\u672c\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u3002\u6587\u672c\u9884\u5904\u7406\u5305\u62ec\u5206\u8bcd\u3001\u53bb\u9664\u505c\u7528\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u7b49\u6b65\u9aa4\uff0c\u8fd9\u4e9b\u6b65\u9aa4\u5e2e\u52a9\u6a21\u578b\u66f4\u597d\u5730\u7406\u89e3\u8f93\u5165\u6587\u672c\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5206\u8bcd<\/strong>\uff1a\u5c06\u6587\u672c\u5206\u89e3\u4e3a\u4e00\u4e2a\u4e2a\u8bcd\u6216\u77ed\u8bed\u3002<\/li>\n<li><strong>\u53bb\u9664\u505c\u7528\u8bcd<\/strong>\uff1a\u505c\u7528\u8bcd\u662f\u6307\u5728\u6587\u672c\u5206\u6790\u4e2d\u6ca1\u6709\u5b9e\u9645\u610f\u4e49\u7684\u8bcd\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u662f\u201d\u7b49\u3002<\/li>\n<li><strong>\u8bcd\u6027\u6807\u6ce8<\/strong>\uff1a\u4e3a\u6bcf\u4e2a\u8bcd\u5206\u914d\u4e00\u4e2a\u8bcd\u6027\u6807\u7b7e\uff0c\u5982\u540d\u8bcd\u3001\u52a8\u8bcd\u7b49\u3002<\/li>\n<\/ul>\n<p><h4>2\u3001\u9009\u62e9\u548c\u52a0\u8f7d\u6a21\u578b<\/h4>\n<\/p>\n<p><p>\u9009\u62e9\u5408\u9002\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u5bf9\u4e8e\u95ee\u7b54\u7cfb\u7edf\u7684\u6027\u80fd\u81f3\u5173\u91cd\u8981\u3002transformers\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u9884\u8bad\u7ec3\u6a21\u578b\uff0cBERT\u662f\u4e00\u4e2a\u975e\u5e38\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from transformers import pipeline<\/p>\n<h2><strong>\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684BERT\u6a21\u578b<\/strong><\/h2>\n<p>qa_pipeline = pipeline(&quot;question-answering&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5b9e\u73b0\u95ee\u7b54\u529f\u80fd<\/h4>\n<\/p>\n<p><p>\u4e00\u65e6\u6a21\u578b\u52a0\u8f7d\u5b8c\u6210\uff0c\u5c31\u53ef\u4ee5\u5b9e\u73b0\u95ee\u7b54\u529f\u80fd\u3002\u901a\u8fc7\u63d0\u4f9b\u6587\u672c\u548c\u95ee\u9898\uff0c\u6a21\u578b\u53ef\u4ee5\u8fd4\u56de\u5bf9\u5e94\u7684\u7b54\u6848\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">context = &quot;Python\u662f\u4e00\u79cd\u89e3\u91ca\u578b\u3001\u9762\u5411\u5bf9\u8c61\u3001\u52a8\u6001\u6570\u636e\u7c7b\u578b\u7684\u9ad8\u7ea7\u7a0b\u5e8f\u8bbe\u8ba1\u8bed\u8a00\u3002&quot;<\/p>\n<p>question = &quot;Python\u662f\u4e00\u79cd\u4ec0\u4e48\u6837\u7684\u8bed\u8a00\uff1f&quot;<\/p>\n<p>result = qa_pipeline(question=question, context=context)<\/p>\n<p>print(f&quot;Answer: {result[&#39;answer&#39;]}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u6a21\u578b\u7684\u4f18\u5316\u4e0e\u8c03\u6574<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u8ba9\u95ee\u7b54\u7cfb\u7edf\u66f4\u52a0\u9ad8\u6548\u548c\u51c6\u786e\uff0c\u53ef\u4ee5\u8fdb\u884c\u4e00\u4e9b\u4f18\u5316\u548c\u8c03\u6574\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5fae\u8c03\u6a21\u578b<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u5fae\u8c03\u6a21\u578b\uff0c\u53ef\u4ee5\u8ba9\u6a21\u578b\u66f4\u597d\u5730\u9002\u5e94\u7279\u5b9a\u9886\u57df\u7684\u95ee\u7b54\u4efb\u52a1\u3002\u5fae\u8c03\u9700\u8981\u4e00\u5b9a\u7684\u6570\u636e\u96c6\uff0c\u901a\u5e38\u5305\u62ec\u95ee\u9898\u3001\u7b54\u6848\u548c\u4e0a\u4e0b\u6587\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u6570\u636e\u589e\u5f3a<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u6570\u636e\u589e\u5f3a\uff0c\u53ef\u4ee5\u589e\u52a0\u6a21\u578b\u7684\u8bad\u7ec3\u6570\u636e\u91cf\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u540c\u4e49\u8bcd\u66ff\u6362\u3001\u53e5\u5b50\u91cd\u7ec4\u7b49\u65b9\u6cd5\u751f\u6210\u66f4\u591a\u7684\u8bad\u7ec3\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5b9e\u8df5\u6848\u4f8b<\/h3>\n<\/p>\n<p><h4>1\u3001\u7b80\u5355\u95ee\u7b54\u5b9e\u73b0<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">context = &quot;Python\u662f\u4e00\u79cd\u89e3\u91ca\u578b\u3001\u9762\u5411\u5bf9\u8c61\u3001\u52a8\u6001\u6570\u636e\u7c7b\u578b\u7684\u9ad8\u7ea7\u7a0b\u5e8f\u8bbe\u8ba1\u8bed\u8a00\u3002&quot;<\/p>\n<p>questions = [<\/p>\n<p>    &quot;Python\u662f\u4e00\u79cd\u4ec0\u4e48\u6837\u7684\u8bed\u8a00\uff1f&quot;,<\/p>\n<p>    &quot;Python\u7684\u7279\u70b9\u662f\u4ec0\u4e48\uff1f&quot;<\/p>\n<p>]<\/p>\n<p>for question in questions:<\/p>\n<p>    result = qa_pipeline(question=question, context=context)<\/p>\n<p>    print(f&quot;Question: {question}&quot;)<\/p>\n<p>    print(f&quot;Answer: {result[&#39;answer&#39;]}\\n&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u9ad8\u7ea7\u95ee\u7b54\u7cfb\u7edf<\/h4>\n<\/p>\n<p><p>\u9ad8\u7ea7\u95ee\u7b54\u7cfb\u7edf\u53ef\u4ee5\u7ed3\u5408\u591a\u79cd\u6280\u672f\uff0c\u5982\u77e5\u8bc6\u56fe\u8c31\u3001\u4fe1\u606f\u68c0\u7d22\u7b49\uff0c\u4ee5\u63d0\u9ad8\u95ee\u7b54\u7684\u51c6\u786e\u6027\u548c\u8986\u76d6\u7387\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u77e5\u8bc6\u56fe\u8c31<\/strong>\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u5b58\u50a8\u548c\u68c0\u7d22\u7ed3\u6784\u5316\u4fe1\u606f\uff0c\u53ef\u4ee5\u63d0\u9ad8\u95ee\u7b54\u7cfb\u7edf\u7684\u51c6\u786e\u6027\u3002<\/li>\n<li><strong>\u4fe1\u606f\u68c0\u7d22<\/strong>\uff1a\u901a\u8fc7\u4fe1\u606f\u68c0\u7d22\u6280\u672f\uff0c\u53ef\u4ee5\u4ece\u5927\u89c4\u6a21\u6587\u672c\u6570\u636e\u4e2d\u5feb\u901f\u627e\u5230\u76f8\u5173\u4fe1\u606f\u3002<\/li>\n<\/ul>\n<p><h3>\u4e94\u3001\u6311\u6218\u4e0e\u672a\u6765\u65b9\u5411<\/h3>\n<\/p>\n<p><p>\u6784\u5efa\u95ee\u7b54\u7cfb\u7edf\u9762\u4e34\u8bb8\u591a\u6311\u6218\uff0c\u5982\u7406\u89e3\u590d\u6742\u95ee\u9898\u3001\u5904\u7406\u6a21\u68f1\u4e24\u53ef\u7684\u4e0a\u4e0b\u6587\u7b49\u3002\u672a\u6765\uff0c\u968f\u7740NLP\u6280\u672f\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u95ee\u7b54\u7cfb\u7edf\u5c06\u5728\u66f4\u591a\u9886\u57df\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u590d\u6742\u95ee\u9898\u7406\u89e3<\/h4>\n<\/p>\n<p><p>\u8981\u5904\u7406\u590d\u6742\u95ee\u9898\uff0c\u95ee\u7b54\u7cfb\u7edf\u9700\u8981\u5177\u6709\u66f4\u5f3a\u7684\u4e0a\u4e0b\u6587\u7406\u89e3\u548c\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u8de8\u9886\u57df\u95ee\u7b54<\/h4>\n<\/p>\n<p><p>\u5b9e\u73b0\u8de8\u9886\u57df\u95ee\u7b54\u7cfb\u7edf\u9700\u8981\u5728\u591a\u4e2a\u9886\u57df\u4e2d\u4fdd\u6301\u9ad8\u51c6\u786e\u6027\uff0c\u8fd9\u5bf9\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u63d0\u51fa\u4e86\u66f4\u9ad8\u8981\u6c42\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0d\u65ad\u7684\u7814\u7a76\u548c\u521b\u65b0\uff0cPython\u95ee\u7b54\u7cfb\u7edf\u5c06\u5728\u667a\u80fd\u5ba2\u670d\u3001\u5728\u7ebf\u6559\u80b2\u3001\u77e5\u8bc6\u7ba1\u7406\u7b49\u9886\u57df\u5e26\u6765\u9769\u547d\u6027\u7684\u53d8\u5316\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u4e3a\u4f60\u63d0\u4f9b\u4e00\u4e9b\u6307\u5bfc\uff0c\u8ba9\u4f60\u5728\u6784\u5efaPython\u95ee\u7b54\u7cfb\u7edf\u7684\u8fc7\u7a0b\u4e2d\u6709\u6240\u542f\u53d1\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5b9e\u73b0\u95ee\u7b54\u7cfb\u7edf\uff1f<\/strong><br \/>\u8981\u5728Python\u4e2d\u6784\u5efa\u95ee\u7b54\u7cfb\u7edf\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u5982NLTK\u3001SpaCy\u6216Transformers\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u51c6\u5907\u6570\u636e\u96c6\uff0c\u901a\u5e38\u5305\u542b\u95ee\u9898\u548c\u76f8\u5e94\u7684\u7b54\u6848\u3002\u63a5\u4e0b\u6765\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\uff0c\u6216\u8005\u5229\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u4ee5\u63d0\u9ad8\u7cfb\u7edf\u7684\u51c6\u786e\u6027\u3002\u4f7f\u7528Flask\u6216Django\u7b49\u6846\u67b6\u53ef\u4ee5\u5c06\u95ee\u7b54\u7cfb\u7edf\u90e8\u7f72\u4e3aWeb\u5e94\u7528\u3002<\/p>\n<p><strong>Python\u4e2d\u7684\u54ea\u4e9b\u5e93\u9002\u5408\u5f00\u53d1\u95ee\u7b54\u7cfb\u7edf\uff1f<\/strong><br \/>\u5728\u5f00\u53d1\u95ee\u7b54\u7cfb\u7edf\u65f6\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u591a\u79cd\u5e93\u3002NLTK\u548cSpaCy\u9002\u7528\u4e8e\u6587\u672c\u5904\u7406\u548c\u5206\u6790\u3002Transformers\u5e93\u5219\u63d0\u4f9b\u4e86\u591a\u79cd\u9884\u8bad\u7ec3\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u4f8b\u5982BERT\u548cGPT\uff0c\u80fd\u591f\u5e2e\u52a9\u60a8\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u95ee\u7b54\u529f\u80fd\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528TensorFlow\u6216PyTorch\u6765\u5b9e\u73b0\u66f4\u9ad8\u7ea7\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<p><strong>\u5982\u4f55\u63d0\u9ad8Python\u95ee\u7b54\u7cfb\u7edf\u7684\u51c6\u786e\u6027\uff1f<\/strong><br \/>\u8981\u63d0\u9ad8\u95ee\u7b54\u7cfb\u7edf\u7684\u51c6\u786e\u6027\uff0c\u53ef\u4ee5\u8003\u8651\u51e0\u4e2a\u65b9\u9762\u3002\u6570\u636e\u8d28\u91cf\u81f3\u5173\u91cd\u8981\uff0c\u786e\u4fdd\u8bad\u7ec3\u6570\u636e\u7684\u591a\u6837\u6027\u548c\u4ee3\u8868\u6027\u3002\u4f7f\u7528\u6570\u636e\u589e\u5f3a\u6280\u672f\u6765\u6269\u5c55\u6570\u636e\u96c6\u4e5f\u662f\u4e00\u4e2a\u6709\u6548\u7684\u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u5b9a\u671f\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\uff0c\u901a\u8fc7\u8c03\u6574\u8d85\u53c2\u6570\u548c\u4f7f\u7528\u66f4\u590d\u6742\u7684\u6a21\u578b\u6765\u8fdb\u884c\u4f18\u5316\u3002\u7ed3\u5408\u7528\u6237\u53cd\u9988\uff0c\u4e0d\u65ad\u8fed\u4ee3\u548c\u6539\u8fdb\u7cfb\u7edf\u4e5f\u662f\u63d0\u5347\u51c6\u786e\u6027\u7684\u6709\u6548\u9014\u5f84\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python\u505a\u95ee\u7b54 \u4f7f\u7528Python\u505a\u95ee\u7b54\u53ef\u4ee5\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5e93\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3001API\u670d\u52a1\u7b49\u5b9e [&hellip;]","protected":false},"author":3,"featured_media":975733,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975727"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=975727"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975727\/revisions"}],"predecessor-version":[{"id":975734,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975727\/revisions\/975734"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/975733"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=975727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=975727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=975727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}