{"id":204008,"date":"2025-05-29T14:04:27","date_gmt":"2025-05-29T06:04:27","guid":{"rendered":"https:\/\/server.hk\/cnblog\/204008\/"},"modified":"2025-05-29T14:04:27","modified_gmt":"2025-05-29T06:04:27","slug":"%e8%bf%9e%e6%8e%a5%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e4%b8%8e-tensorflow%ef%bc%9a%e4%bb%8e-python-%e5%88%b0-javascript","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/204008\/","title":{"rendered":"\u8fde\u63a5\u673a\u5668\u5b66\u4e60\u4e0e TensorFlow\uff1a\u4ece Python \u5230 JavaScript"},"content":{"rendered":"

<\/b> <\/p>\n

\u8fde\u63a5\u673a\u5668\u5b66\u4e60\u4e0e TensorFlow\uff1a\u4ece Python \u5230 JavaScript<\/h1>\n

\u73cd\u60dc\u65f6\u95f4\uff0c\u52e4\u594b\u5b66\u4e60\uff01\u4eca\u5929\u7ed9\u5927\u5bb6\u5e26\u6765\u300a\u8fde\u63a5\u673a\u5668\u5b66\u4e60\u4e0e TensorFlow\uff1a\u4ece Python \u5230 JavaScript\u300b<\/span>\uff0c\u6b63\u6587\u5185\u5bb9\u4e3b\u8981\u6d89\u53ca\u5230<\/span>\u7b49\u7b49\uff0c\u5982\u679c\u4f60\u6b63\u5728\u5b66\u4e60\u6587\u7ae0<\/span>\uff0c\u6216\u8005\u662f\u5bf9\u6587\u7ae0<\/span>\u6709\u7591\u95ee\uff0c\u6b22\u8fce\u5927\u5bb6\u5173\u6ce8\u6211\uff01\u540e\u9762\u6211\u4f1a\u6301\u7eed\u66f4\u65b0\u76f8\u5173\u5185\u5bb9\u7684\uff0c\u5e0c\u671b\u90fd\u80fd\u5e2e\u5230\u6b63\u5728\u5b66\u4e60\u7684\u5927\u5bb6\uff01<\/p>\n

<\/p>\n

\u4f5c\u4e3a\u4e00\u540d javascript \u5f00\u53d1\u4eba\u5458\uff0c\u6df1\u5165\u7814\u7a76\u673a\u5668\u5b66\u4e60\u5e76\u4e0d\u50cf\u770b\u8d77\u6765\u90a3\u4e48\u4ee4\u4eba\u754f\u60e7\u3002\u867d\u7136\u5728\u6280\u672f\u4e0a\u53ef\u4ee5\u4f7f\u7528 node.js \u5305\u5904\u7406\u6240\u6709\u4e8b\u60c5\uff0c\u4f46 python ml \u751f\u6001\u7cfb\u7edf\u592a\u4e30\u5bcc\u4e14\u5b8c\u5584\uff0c\u4e0d\u5bb9\u5ffd\u89c6\u3002\u53e6\u5916\uff0cpython \u7684\u4f7f\u7528\u8d77\u6765\u975e\u5e38\u6109\u5feb\u3002\u56e0\u6b64\uff0c\u4f7f\u7528 python \u6765\u5904\u7406\u540e\u7aef\u7684\u7e41\u91cd\u5de5\u4f5c\u662f\u6709\u610f\u4e49\u7684\u3002\u51c6\u5907\u597d\u6a21\u578b\u540e\uff0c\u60a8\u53ef\u4ee5\u5c06\u5176\u5bfc\u51fa\u4e3a\u524d\u7aef\u53cb\u597d\u7684\u683c\u5f0f\u5e76\u5c06\u5176\u52a0\u8f7d\u5230\u5ba2\u6237\u7aef\u4e0a\u4ee5\u8fd0\u884c\u9884\u6d4b\u3002<\/p>\n

\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u5efa\u7acb\u4e00\u4e2a\u6a21\u578b\uff0c\u6839\u636e\u827a\u672f\u5bb6\u7684 twitter \u7c89\u4e1d\u6570\u91cf\u6765\u9884\u6d4b\u4ed6\u4eec\u7684\u53d7\u6b22\u8fce\u7a0b\u5ea6\u3002<\/p>\n

\u7b2c\u4e00\u6b65\u662f\u83b7\u53d6\u6570\u636e\u96c6\u3002\u5bf9\u4e8e\u6b64\u9879\u76ee\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u5982\u4e0b\u6240\u793a\u7684 arts.csv \u6587\u4ef6\uff1a<\/p>\n

twitter_followers,popularity,handle\n111024636,94,justinbieber\n107920365,91,rihanna\n106599902,89,katyperry\n95307659,97,taylorswift13\n66325495,87,selenagomez\n66325135,71,selenagomez\n60943147,83,jtimberlake\n54815915,82,britneyspears\n53569307,85,shakira\n<\/pre>\n
\u5982\u60a8\u6240\u89c1\uff0c\u8fd9\u91cc\u6709\u4e24\u4e2a\u5173\u952e\u503c\uff1atwitter_followers \u548c\u53d7\u6b22\u8fce\u5ea6\u3002\u8fd9\u5f88\u597d\u5730\u4e3a\u6211\u4eec\u5efa\u7acb\u4e86\u5e8f\u5217\u6a21\u578b\uff0c\u5176\u4e2d x \u5c06\u662f twitter_followers\uff0cy \u5c06\u662f\u6d41\u884c\u5ea6\u3002<\/p>\n
\u5e8f\u5217\u6a21\u578b<\/strong>\u662f\u6784\u5efa\u6a21\u578b\u6700\u7b80\u5355\u7684\u9009\u9879\u4e4b\u4e00\u3002\u867d\u7136\u9009\u62e9\u6700\u7ec8\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u7528\u4f8b\uff0c\u4f46\u6211\u73b0\u5728\u4fdd\u6301\u7b80\u5355\u5e76\u575a\u6301\u4f7f\u7528\u8fd9\u79cd\u65b9\u6cd5\u3002<\/p>\n
\u6784\u5efa\u6a21\u578b\u65f6\uff0c\u60a8\u9700\u8981\u89e3\u51b3\u4e00\u4e9b\u57fa\u672c\u4efb\u52a1\uff1a<\/p>\n
    \n
  • \u6e05\u7406\u6216\u6807\u51c6\u5316\u6570\u636e<\/li>\n
  • \u5c06\u6570\u636e\u5206\u4e3a\u8bad\u7ec3 (80%) \u548c\u6d4b\u8bd5 (20%)<\/li>\n
  • \u9009\u62e9\u6a21\u578b\u4ee5\u53ca\u4f18\u5316\u5668\u548c\u635f\u5931\u51fd\u6570\u7b49\u8bbe\u7f6e<\/li>\n
  • \u8bad\u7ec3\u6a21\u578b\uff08\u62df\u5408\uff09<\/li>\n
  • \u8bc4\u4f30\u6a21\u578b<\/li>\n
  • \u4fdd\u5b58\u6a21\u578b<\/li>\n<\/ul>\n
    \u4e0b\u9762\u7684\u4ee3\u7801\u8ba9\u60a8\u5f88\u597d\u5730\u6982\u8ff0\u4e86\u8fd9\u4e9b\u4efb\u52a1\uff0c\u5c3d\u7ba1\u5b83\u4e0d\u662f\u5b8c\u6574\u7684\u56fe\u7247\u3002\u60a8\u53ef\u4ee5\u5728 github \u4e0a\u67e5\u770b\u5b8c\u6574\u4ee3\u7801\u3002<\/p>\n
    def get_model(x, y):\n    x_normalized = layers.normalization(\n        axis=none,\n    )\n    x_normalized.adapt(np.array(x))\n\n    model = tensorflow.keras.sequential([x_normalized, layers.dense(units=1)])\n\n    model.compile(\n        optimizer=tensorflow.keras.optimizers.adam(learning_rate=0.1),\n        loss=\"mean_squared_error\",\n    )\n\n    model.fit(\n        x,\n        y,\n        epochs=2,\n        verbose=0,\n        validation_split=0.2,\n    )\n\n    return model\n\ndef main:\n  train_features, test_features, train_labels, test_labels = split_data(dataset)\n\n  model = get_model(\n      train_features[\"twitter_followers\"],\n      train_labels,\n  )\n\n  test_loss = model.evaluate(\n      test_features[\"twitter_followers\"], test_labels, verbose=2\n  )\n\n  model.export(\".\/saved_model\")\n<\/pre>\n
    \u5982\u60a8\u6240\u89c1\uff0cpython \u4ee3\u7801\u975e\u5e38\u7b80\u5355\u3002\u6709\u4e00\u4e2a\u4e3b\u8981\u51fd\u6570\u5904\u7406\u6570\u636e\u7684\u5206\u5272\u3001\u83b7\u53d6\u6a21\u578b\u3001\u8bc4\u4f30\u5b83\uff0c\u6700\u540e\u4fdd\u5b58\u5b83\u3002<\/p>\n
    \u7b80\u800c\u8a00\u4e4b\uff0c\u8fd9\u4e9b\u662f\u521b\u5efa\u6a21\u578b\u7684\u57fa\u672c\u6b65\u9aa4\u3002\u4f46\u8ba9\u6211\u4eec\u9762\u5bf9\u73b0\u5b9e\u5427\uff1a\u5efa\u7acb\u4e00\u4e2a\u771f\u6b63\u6709\u6548\u7684\u6a21\u578b\u65e2\u662f\u4e00\u95e8\u827a\u672f\uff0c\u4e5f\u662f\u4e00\u95e8\u79d1\u5b66\u3002\u6211\u7684\u76ee\u6807\u53ea\u662f\u5c55\u793a python \u5165\u95e8\u662f\u591a\u4e48\u5bb9\u6613\u3002\u7136\u800c\uff0c\u8981\u521b\u5efa\u4e00\u4e2a\u6027\u80fd\u826f\u597d\u7684\u6a21\u578b\uff0c\u9700\u8981\u505a\u5f88\u591a\u5de5\u4f5c\uff0c\u6bd4\u5982\u62e5\u6709\u53ef\u9760\u7684\u6570\u636e\u96c6\u3001\u6e05\u7406\u548c\u89c4\u8303\u5316\u6570\u636e\u3001\u9009\u62e9\u6b63\u786e\u7684\u6a21\u578b\u548c\u8bbe\u7f6e\uff0c\u4ee5\u53ca\u62e5\u6709\u8bad\u7ec3\u5b83\u7684\u8ba1\u7b97\u80fd\u529b\u3002\u6240\u6709\u8fd9\u4e9b\u4efb\u52a1\u90fd\u9700\u8981\u6295\u5165\u5927\u91cf\u7684\u65f6\u95f4\u548c\u7cbe\u529b\uff01<\/p>\n
    \u73b0\u5728\u6211\u4eec\u5df2\u7ecf\u8bad\u7ec3\u5e76\u4fdd\u5b58\u4e86\u6a21\u578b\uff0c\u662f\u65f6\u5019\u5c06\u5176\u5f15\u5165\u524d\u7aef\u4e86\u3002\u5728\u8fd9\u4e00\u6b65\u4e2d\uff0c\u6211\u4eec\u5c06\u4ee5\u7f51\u7edc\u53cb\u597d\u7684\u683c\u5f0f\u52a0\u8f7d\u6a21\u578b\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\u9884\u6d4b\u3002\u65e0\u8bba\u60a8\u4f7f\u7528 tensorflow.js \u8fd8\u662f\u5176\u4ed6\u5e93\uff0c\u5c06\u673a\u5668\u5b66\u4e60\u96c6\u6210\u5230\u60a8\u7684 web \u5e94\u7528\u7a0b\u5e8f\u4e2d\u90fd\u4f1a\u6253\u5f00\u4e00\u4e2a\u5145\u6ee1\u53ef\u80fd\u6027\u7684\u4e16\u754c\u3002\u8ba9\u6211\u4eec\u6df1\u5165\u63a2\u8ba8\u5982\u4f55\u505a\u5230\u8fd9\u4e00\u70b9\uff01<\/p>\n
    tensorflow \u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3a tensorflowjs_converter \u7684 npm \u5305\uff0c\u53ef\u5e2e\u52a9\u5c06\u4fdd\u5b58\u7684\u6a21\u578b\u8f6c\u6362\u4e3a json \u548c\u4e8c\u8fdb\u5236\u6587\u4ef6\u3002<\/p>\n
    tensorflowjs_converter --input_format=tf_saved_model model\/saved_model out\/public\n<\/pre>\n
      \n
    •  tf_saved_model\uff1a\u8fd9\u662f\u7528\u4e8e\u4fdd\u5b58\u6a21\u578b\u7684\u683c\u5f0f\u3002<\/li>\n
    •  model\/saved_model\uff1a\u8fd9\u662f\u6267\u884cpython\u4ee3\u7801\u65f6\u4fdd\u5b58\u6a21\u578b\u7684\u76ee\u5f55\u3002<\/li>\n
    •  out\/public\uff1a\u8fd9\u662f\u4fdd\u5b58\u524d\u7aef\u53cb\u597d\u6587\u4ef6\u7684\u8f93\u51fa\u76ee\u5f55\u3002\u6587\u4ef6\u5939\u7ed3\u6784\u5c06\u5982\u4e0b\u6240\u793a\uff1a <\/li>\n<\/ul>\n
      ls -la out\/public\n\ngroup1-shard1of1.bin\nmodel.json\n<\/pre>\n
      \u6b64\u8bbe\u7f6e\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee web \u5e94\u7528\u7a0b\u5e8f\u6240\u9700\u7684\u6587\u4ef6\u3002<\/p>\n
      \u60a8\u53ef\u4ee5\u5728 github \u4e0a\u67e5\u770b\u5b8c\u6574\u4ee3\u7801\u3002<\/p>\n
      const model = await tensorflow.loadGraphModel(\"model.json\");\n\nconst getPopularity = (followers) => {\n  const followers = 1_000;\n  const normalized = followers;\n  const x = tensorflow.tensor(normalized).reshape([-1, 1]);\n\n  const result = model.predict(x);\n  const values = result.arraySync();\n\n  const y = values[0][0].toFixed(2) * 100;\n  const popularity = y;\n\n  return popularity;\n};\n<\/pre>\n
      \u5982\u524d\u6240\u8ff0\uff0c\u8be5\u6a21\u578b\u65e8\u5728\u6839\u636e twitter \u5173\u6ce8\u8005\u6570\u91cf\u201c\u9884\u6d4b\u53d7\u6b22\u8fce\u7a0b\u5ea6\u201d\u3002\u867d\u7136\u5b83\u770b\u8d77\u6765\u50cf\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u4f46\u5b83\u6709\u6548\u5730\u6f14\u793a\u4e86\u5982\u4f55\u5728\u540e\u7aef\u751f\u6210\u6a21\u578b\u5e76\u5728\u524d\u7aef\u4f7f\u7528\u5b83\u3002<\/p>\n
      \u7a0d\u5fae\u770b\u4e00\u4e0b getpopularity \u5982\u4f55\u5904\u7406\u8f93\u5165\uff0c\u4f46\u5173\u952e\u4e00\u884c\u662f model.predict(x)\uff0c\u5b83\u4f7f\u7528\u6a21\u578b\u6839\u636e\u8f93\u5165 x \u9884\u6d4b\u4e00\u4e2a\u503c (y)\u3002<\/p>\n
      \u524d\u5f80\u6f14\u793a\u9875\u9762\u5e76\u5c1d\u8bd5\u4e00\u4e9b twitter \u624b\u67c4\u3002\u8fd9\u662f\u4e00\u79cd\u6709\u8da3\u7684\u65b9\u5f0f\u6765\u4e86\u89e3\u6a21\u578b\u5982\u4f55\u6839\u636e\u5173\u6ce8\u8005\u6570\u91cf\u9884\u6d4b\u53d7\u6b22\u8fce\u7a0b\u5ea6\u3002<\/p>\n
      tensorflow \u662f\u4e00\u4e2a\u5f88\u68d2\u7684\u5e93\uff0c\u4e3a\u540e\u7aef\u548c\u524d\u7aef\u5f00\u53d1\u63d0\u4f9b\u4e86\u5de5\u5177\u3002\u4efb\u4f55 javascript \u5f00\u53d1\u4eba\u5458\u90fd\u53ef\u4ee5\u6df1\u5165\u4f7f\u7528 python \u6216\u7c7b\u4f3c\u8bed\u8a00\u521b\u5efa\u6a21\u578b\uff0c\u7136\u540e\u8f7b\u677e\u5c06\u8be5\u6a21\u578b\u5bfc\u5165\u524d\u7aef\u4ee5\u8fd0\u884c\u9884\u6d4b\u3002<\/p>\n
      \u867d\u7136\u673a\u5668\u5b66\u4e60\u662f\u4e00\u4e2a\u5e7f\u9614\u7684\u9886\u57df\uff0c\u9700\u8981\u5927\u91cf\u77e5\u8bc6\uff0c\u4f46\u50cf tensorflow \u8fd9\u6837\u7684\u5de5\u5177\u6709\u52a9\u4e8e\u5f25\u5408\u8f6f\u4ef6\u548c\u673a\u5668\u5b66\u4e60\u5f00\u53d1\u4eba\u5458\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002\u5bf9\u4e8e\u90a3\u4e9b\u5e0c\u671b\u5c06 ml \u878d\u5165\u5230\u4ed6\u4eec\u7684\u9879\u76ee\u4e2d\u7684\u4eba\u6765\u8bf4\uff0c\u8fd9\u8ba9\u65c5\u7a0b\u53d8\u5f97\u66f4\u52a0\u987a\u5229\uff01<\/p>\n
      \u4ee5\u4e0a\u5c31\u662f\u672c\u6587\u7684\u5168\u90e8\u5185\u5bb9\u4e86\uff0c\u662f\u5426\u6709\u987a\u5229\u5e2e\u52a9\u4f60\u89e3\u51b3\u95ee\u9898\uff1f\u82e5\u662f\u80fd\u7ed9\u4f60\u5e26\u6765\u5b66\u4e60\u4e0a\u7684\u5e2e\u52a9\uff0c\u8bf7\u5927\u5bb6\u591a\u591a\u652f\u6301\uff01\u66f4\u591a\u5173\u4e8e\u6587\u7ae0\u7684\u76f8\u5173\u77e5\u8bc6\uff0c\u4e5f\u53ef\u5173\u6ce8\u516c\u4f17\u53f7\u3002<\/p>\n
            \u7248\u672c\u58f0\u660e \u672c\u6587\u8f6c\u8f7d\u4e8e\uff1adev.to \u5982\u6709\u4fb5\u72af\uff0c\u8bf7\u8054\u7cfb\u5220\u9664<\/p>\n","protected":false},"excerpt":{"rendered":"
      \u8fde\u63a5\u673a\u5668\u5b66\u4e60\u4e0e TensorFl...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4925],"tags":[],"class_list":["post-204008","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=204008"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204008\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=204008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=204008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=204008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}