{"id":29298,"date":"2026-05-08T08:34:08","date_gmt":"2026-05-08T00:34:08","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=29298"},"modified":"2026-05-08T08:34:08","modified_gmt":"2026-05-08T00:34:08","slug":"webnn%ef%bc%9a%e8%ae%a9-ai-%e6%8e%a8%e7%90%86%e5%9c%a8%e6%b5%8f%e8%a7%88%e5%99%a8%e4%b8%ad%e9%9b%b6%e8%b7%9d%e7%a6%bb%e8%bf%90%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2026\/05\/08\/29298\/","title":{"rendered":"WebNN\uff1a\u8ba9 AI \u63a8\u7406\u5728\u6d4f\u89c8\u5668\u4e2d\u201c\u96f6\u8ddd\u79bb\u201d\u8fd0\u884c"},"content":{"rendered":"<div class=\"article-desc\">WebNN\uff08Web Neural Network API\uff09\u662f\u4e00\u4e2a\u4e3a Web \u8bbe\u8ba1\u3001\u4e0e\u786c\u4ef6\u65e0\u5173\u7684\u795e\u7ecf\u7f51\u7edc\u63a8\u7406\u52a0\u901f\u62bd\u8c61\u5c42\u3002\u5b83\u5141\u8bb8 Web \u5e94\u7528\u76f4\u63a5\u8c03\u7528\u8bbe\u5907\u5e95\u5c42\u786c\u4ef6\uff08\u5982 CPU\u3001GPU \u6216\u4e13\u7528\u7684 AI \u52a0\u901f\u5668 NPU\uff09\u6765\u9ad8\u6548\u8fd0\u884c\u673a\u5668\u5b66\u4e60\u8ba1\u7b97\u3002<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-01a18e2f=\"\" data-element=\"root\">\n<h2>\u4e00\u3001\u5f15\u8a00<\/h2>\n<p>\u60f3\u8c61\u4e00\u4e0b\uff0c\u5728\u7f51\u9875\u5e94\u7528\u4e2d\u65e0\u9700\u8c03\u7528\u4e91\u7aef API\uff0c\u5c31\u80fd\u76f4\u63a5\u5b9e\u73b0\u6beb\u79d2\u7ea7\u7684\u4eba\u8138\u8bc6\u522b\u3001\u5b9e\u65f6\u7684\u98ce\u683c\u5316\u6ee4\u955c\uff0c\u6216\u7cbe\u51c6\u7684\u8bed\u4e49\u5206\u5272\u3002<\/p>\n<p>\u8fd9\u542c\u8d77\u6765\u50cf\u662f\u539f\u751f\u5e94\u7528\u7684\u7279\u6743\uff0c\u4f46\u4e00\u9879\u65b0\u7684 Web \u6807\u51c6\u6b63\u5728\u5c06\u5176\u53d8\u4e3a\u6bcf\u4e2a\u6d4f\u89c8\u5668\u7684\u6807\u914d\u3002 \u968f\u7740 Web \u795e\u7ecf\u7f51\u7edc API\uff08WebNN\uff09\u7684\u5230\u6765\uff0c\u9ad8\u6027\u80fd AI \u63a8\u7406\u7684\u8fb9\u7f18\uff0c\u6b63\u4ece\u9065\u8fdc\u7684\u4e91\u7aef\u6269\u5c55\u5230\u4f60\u6211\u6307\u5c16\u7684\u8bbe\u5907\u4e4b\u4e0a\u3002<\/p>\n<h2>\u4e8c\u3001WebNN\uff1a\u8fde\u63a5 AI \u6a21\u578b\u4e0e\u786c\u4ef6\u6027\u80fd\u7684\u201c\u7ffb\u8bd1\u5b98\u201d<\/h2>\n<p>\u7b80\u5355\u6765\u8bf4\uff0cWebNN\uff08Web Neural Network API\uff09\u662f\u4e00\u4e2a\u4e3a Web \u8bbe\u8ba1\u3001<strong>\u4e0e\u786c\u4ef6\u65e0\u5173\u7684\u795e\u7ecf\u7f51\u7edc\u63a8\u7406\u52a0\u901f\u62bd\u8c61\u5c42<\/strong>\u3002\u5b83\u5141\u8bb8 Web \u5e94\u7528\u76f4\u63a5\u8c03\u7528\u8bbe\u5907\u5e95\u5c42\u786c\u4ef6\uff08\u5982 CPU\u3001GPU \u6216\u4e13\u7528\u7684 AI \u52a0\u901f\u5668 NPU\uff09\u6765\u9ad8\u6548\u8fd0\u884c\u673a\u5668\u5b66\u4e60\u8ba1\u7b97\u3002<\/p>\n<p>WebNN \u5e76\u975e\u4e00\u4e2a\u666e\u901a\u7684 JavaScript \u5e93\uff0c\u5b83\u662f\u4e00\u4e2a\u539f\u751f\u7ea7\u7684\u6d4f\u89c8\u5668 API\u3002\u4f60\u53ef\u4ee5\u628a\u5b83\u770b\u4f5c\u4e00\u4e2a\u9ad8\u6548\u7684\u00a0<strong>\u201c\u7ffb\u8bd1\u5b98\u201d<\/strong>\u00a0\u517c\u00a0<strong>\u201c\u8c03\u5ea6\u5458\u201d<\/strong>\u3002\u5f00\u53d1\u8005\u4f7f\u7528\u7edf\u4e00\u7684 JavaScript API \u63cf\u8ff0\u8ba1\u7b97\u4efb\u52a1\uff0cWebNN \u5219\u8d1f\u8d23\u5c06\u5176 \u201c\u7ffb\u8bd1\u201d\u5e76\u201c\u8c03\u5ea6\u201d\u5230\u5f53\u524d\u8bbe\u5907\u6700\u5408\u9002\u7684\u5e95\u5c42\u52a0\u901f\u65b9\u6848\u4e0a\u6267\u884c\uff08\u5982 Windows \u7684 DirectML\u3001macOS \u7684 ML Compute\u3001Android \u7684 NNAPI\uff09\u3002\u8fd9\u5957\u673a\u5236\u7684\u6838\u5fc3\u76ee\u6807\uff0c\u6b63\u662f\u4e3a\u4e86\u5b9e\u73b0\u4e00\u79cd\u201c\u878d\u5408\u4e8c\u8005\u4e4b\u957f\u201d\u7684\u5168\u65b0\u8bbe\u8ba1\u54f2\u5b66\u3002<\/p>\n<h2>\u4e09\u3001\u6838\u5fc3\u7406\u5ff5\uff1a\u4e3a\u4f55\u8981\u201c\u878d\u5408\u4e8c\u8005\u4e4b\u957f\u201d\uff1f<\/h2>\n<p>WebNN \u7684\u5168\u90e8\u8bbe\u8ba1\u90fd\u6e90\u4e8e\u4e00\u4e2a\u6e05\u6670\u7684\u76ee\u6807\uff1a\u5c06<strong>\u73b0\u4ee3\u8bbe\u5907\uff08\u5982\u4e2a\u4eba\u7535\u8111\u3001\u9ad8\u7aef\u624b\u673a\uff09\u5e95\u5c42\u786c\u4ef6\uff08CPU\u3001GPU\/NPU\uff09\u7684\u9ad8\u6027\u80fd\u5e76\u884c\u8ba1\u7b97\u80fd\u529b<\/strong>\uff0c\u4e0e Web \u5e73\u53f0\u5929\u7136\u7684\u5e7f\u6cdb\u8986\u76d6\u3001\u6613\u90e8\u7f72\u548c\u514d\u5b89\u88c5\u7279\u6027\u76f8\u7ed3\u5408\uff0c\u4ece\u800c\u521b\u9020\u4e00\u79cd\u66f4\u4f18\u7684\u89e3\u51b3\u65b9\u6848\u3002\u8fd9\u5e76\u975e\u65e0\u6761\u4ef6\u7684\u9b54\u6cd5\uff0c\u5176\u6027\u80fd\u8868\u73b0\u786e\u5b9e<strong>\u4f9d\u8d56\u4e8e\u672c\u5730\u8bbe\u5907\u7684\u7b97\u529b\u57fa\u7840<\/strong>\u3002<\/p>\n<p>\u8fd9\u79cd\u201c\u878d\u5408\u201d\u5e76\u975e\u7b80\u5355\u7684\u62fc\u63a5\uff0c\u5b83\u4ece\u67b6\u6784\u5c42\u9762\u5e26\u6765\u4e86\u4e09\u5927\u6839\u672c\u6027\u53d8\u9769\uff1a<\/p>\n<ol class=\"list-paddingleft-1\" data-id=\"odd3d8fc-kGIDANg9\">\n<li data-id=\"ld70c578-QdF7cCHJ\">\u26a1<strong>\u964d\u4f4e\u5ef6\u8fdf\uff0c\u89e3\u9501\u65b0\u573a\u666f<\/strong>\uff1a\u901a\u8fc7\u8c03\u7528\u8bbe\u5907\u7684 GPU \u7b49\u786c\u4ef6\u52a0\u901f\uff0c\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u4e2d\u9ad8\u6548\u6267\u884c\u6a21\u578b\u63a8\u7406\uff0c\u65e0\u9700\u5c06\u6570\u636e\u4e0a\u4f20\u81f3\u4e91\u7aef\u5e76\u7b49\u5f85\u56de\u4f20\u3002\u8fd9\u4e3a\u9700\u8981\u5b9e\u65f6\u5904\u7406\u6444\u50cf\u5934\u3001\u9ea6\u514b\u98ce\u7b49\u672c\u5730\u5a92\u4f53\u6d41\u7684\u5e94\u7528\uff08\u5982\u5b9e\u65f6\u4eba\u50cf\u865a\u5316\u3001\u80cc\u666f\u66ff\u6362\u3001\u8bed\u97f3\u6307\u4ee4\uff09\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/li>\n<li data-id=\"ld70c578-CmKMQSL4\">\ud83d\udd12\u00a0<strong>\u9690\u79c1\u4fdd\u62a4<\/strong>\uff1a\u7531\u4e8e\u6240\u6709\u8ba1\u7b97\u90fd\u5728\u7528\u6237\u81ea\u5df1\u7684\u8bbe\u5907\u786c\u4ef6\u4e0a\u5b8c\u6210\uff0c\u654f\u611f\u7684\u97f3\u9891\u3001\u89c6\u9891\u3001\u56fe\u50cf\u7b49\u6570\u636e\u65e0\u9700\u79bb\u5f00\u672c\u5730\uff0c\u4ece\u67b6\u6784\u6e90\u5934\u7b51\u8d77\u4e86\u9690\u79c1\u5b89\u5168\u7684\u9632\u7ebf\u3002<\/li>\n<li data-id=\"ld70c578-R5b2FFLA\">\ud83d\udca1\u00a0<strong>\u63d0\u5347\u53ef\u7528\u6027\u4e0e\u964d\u4f4e\u6210\u672c<\/strong>\uff1a\u6a21\u578b\u4e00\u65e6\u7f13\u5b58\uff0c\u5e94\u7528\u5373\u53ef\u79bb\u7ebf\u5de5\u4f5c\uff0c\u63d0\u5347\u4e86\u53ef\u9760\u6027\u3002\u540c\u65f6\uff0c\u8ba1\u7b97\u8d1f\u8f7d\u4ece\u670d\u52a1\u5668\u7aef\u8f6c\u79fb\u5230\u4e86\u6d77\u91cf\u7684\u5ba2\u6237\u7aef\u8bbe\u5907\uff0c\u663e\u8457\u964d\u4f4e\u4e86\u670d\u52a1\u63d0\u4f9b\u5546\u7684\u670d\u52a1\u5668\u8fd0\u7ef4\u3001\u80fd\u6e90\u548c\u5e26\u5bbd\u6210\u672c\u3002<\/li>\n<\/ol>\n<h3>WebNN \u4e0e\u4e3b\u6d41\u65b9\u6848\u6838\u5fc3\u5bf9\u6bd4<\/h3>\n<table class=\"data-table\" data-transient-attributes=\"class\" data-width=\"1016.16px\">\n<colgroup data-id=\"c7104f7d-6B8OHXTd\">\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-2mWK0BU3\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-L9HT4ChL\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-ibDRXGUY\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-e0l8SMUE\" \/>\n<col span=\"1\" width=\"203.281\" data-id=\"cd89ecb0-JcgiBfLR\" \/><\/colgroup>\n<tbody data-id=\"t6d5e859-YNORJdR3\">\n<tr data-id=\"t31e458f-BVPaIHGh\">\n<td data-id=\"t6267798-Ze8RSMhW\" data-transient-attributes=\"table-cell-selection\">\u7ef4\u5ea6<\/td>\n<td data-id=\"t6267798-RLU2651d\" data-transient-attributes=\"table-cell-selection\">\u539f\u751f\u5e94\u7528<\/td>\n<td data-id=\"t6267798-lojL09KP\" data-transient-attributes=\"table-cell-selection\">\u4e91\u7aef AI<\/td>\n<td data-id=\"t6267798-ZC20Y0mh\" data-transient-attributes=\"table-cell-selection\">Wasm<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-pniMVcnn\" data-transient-attributes=\"table-cell-selection\"><strong>WebNN<\/strong><\/td>\n<\/tr>\n<tr data-id=\"t31e458f-l5L11GMB\">\n<td data-id=\"t6267798-aP5Rij9I\" data-transient-attributes=\"table-cell-selection\"><strong>\u8fd0\u884c\u4f4d\u7f6e<\/strong><\/td>\n<td data-id=\"t6267798-gUrH3gn1\" data-transient-attributes=\"table-cell-selection\">\u7528\u6237\u8bbe\u5907<\/td>\n<td data-id=\"t6267798-4CslXSaV\" data-transient-attributes=\"table-cell-selection\">\u8fdc\u7a0b\u670d\u52a1\u5668<\/td>\n<td data-id=\"t6267798-EBBWf1uP\" data-transient-attributes=\"table-cell-selection\">\u7528\u6237\u8bbe\u5907 (\u6d4f\u89c8\u5668)<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-DTCjl72r\" data-transient-attributes=\"table-cell-selection\"><strong>\u7528\u6237\u8bbe\u5907 (\u6d4f\u89c8\u5668)<\/strong><\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-5YNHjX3Q\">\n<td data-id=\"t27933fe-giQ2cjIf\" data-transient-attributes=\"table-cell-selection\"><strong>\u6027\u80fd<\/strong><\/td>\n<td data-id=\"t27933fe-RhKm29H6\" data-transient-attributes=\"table-cell-selection\">\u2b50\u2b50\u2b50\u2b50\u2b50 (\u76f4\u63a5\u8c03\u7528\u786c\u4ef6)<\/td>\n<td data-id=\"t27933fe-nVa49YeT\" data-transient-attributes=\"table-cell-selection\">\u2b50\u2b50\u2b50\u2b50\u2b50 (\u65e0\u9650\u4e91\u7aef\u7b97\u529b)<\/td>\n<td data-id=\"t27933fe-DoXkiZ8e\" data-transient-attributes=\"table-cell-selection\">\u2b50\u2b50<\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-hJVKACHh\" data-transient-attributes=\"table-cell-selection\"><strong>\u2b50\u2b50\u2b50\u2b50 (\u8c03\u7528\u786c\u4ef6\uff0c\u4f46\u6709\u9002\u914d\u5c42)<\/strong><\/td>\n<\/tr>\n<tr data-id=\"t31e458f-21kHT2hn\">\n<td data-id=\"t6267798-8X5D8wE8\" data-transient-attributes=\"table-cell-selection\"><strong>\u9690\u79c1<\/strong><\/td>\n<td data-id=\"t6267798-e6TOQs07\" data-transient-attributes=\"table-cell-selection\">\u6700\u9ad8 (\u6570\u636e\u4e0d\u79bb\u8bbe\u5907)<\/td>\n<td data-id=\"t6267798-JeaIYHXP\" data-transient-attributes=\"table-cell-selection\">\u5b58\u5728\u98ce\u9669 (\u6570\u636e\u4e0a\u4f20)<\/td>\n<td data-id=\"t6267798-HUmtnkH0\" data-transient-attributes=\"table-cell-selection\">\u9ad8 (\u6570\u636e\u4e0d\u79bb\u8bbe\u5907)<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-VYWkzEqp\" data-transient-attributes=\"table-cell-selection\"><strong>\u6700\u9ad8 (\u6570\u636e\u4e0d\u79bb\u8bbe\u5907)<\/strong><\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-WJT3W557\">\n<td data-id=\"t27933fe-44WlcIlf\" data-transient-attributes=\"table-cell-selection\"><strong>\u8de8\u5e73\u53f0<\/strong><\/td>\n<td data-id=\"t27933fe-YP1qP03J\" data-transient-attributes=\"table-cell-selection\">\u274c \u5dee<\/td>\n<td data-id=\"t27933fe-ZiKm0TTi\" data-transient-attributes=\"table-cell-selection\">\u2705 \u4f18<\/td>\n<td data-id=\"t27933fe-HnKgl9U1\" data-transient-attributes=\"table-cell-selection\">\u2705 \u4f18<\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-Z27NiGO7\" data-transient-attributes=\"table-cell-selection\"><strong>\u2705 \u4f18<\/strong><\/td>\n<\/tr>\n<tr data-id=\"t31e458f-i6KJFEc8\">\n<td class=\"table-last-column\" data-id=\"t6267798-j9dg31qQ\" data-transient-attributes=\"table-cell-selection\"><strong>\u90e8\u7f72\u66f4\u65b0<\/strong><\/td>\n<td class=\"table-last-column\" data-id=\"t6267798-mrILe1dr\" data-transient-attributes=\"table-cell-selection\">\u274c \u590d\u6742<\/td>\n<td class=\"table-last-column\" data-id=\"t6267798-5LNFbhkr\" data-transient-attributes=\"table-cell-selection\">\u2705 \u4fbf\u6377<\/td>\n<td class=\"table-last-column\" data-id=\"t6267798-NRCgFWS2\" data-transient-attributes=\"table-cell-selection\">\u2705 \u4fbf\u6377<\/td>\n<td class=\"table-last-column table-last-row\" data-id=\"t6267798-icZfd5fb\" data-transient-attributes=\"table-cell-selection\"><strong>\u2705 \u6781\u4fbf\u6377 (\u7f51\u9875\u7ea7\u66f4\u65b0)<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u7b80\u5355\u6765\u8bf4\uff0cWebNN \u8ba9\u7f51\u9875\u5e94\u7528\u201c\u9c7c\u548c\u718a\u638c\u53ef\u4ee5\u517c\u5f97\u201d\uff1a\u65e2\u62e5\u6709\u63a5\u8fd1\u539f\u751f App \u7684 AI \u8ba1\u7b97\u6027\u80fd\u4e0e\u9690\u79c1\u5b89\u5168\uff0c\u53c8\u4fdd\u6301\u4e86 Web \u514d\u5b89\u88c5\u3001\u6613\u66f4\u65b0\u548c\u8de8\u5e73\u53f0\u7684\u72ec\u7279\u4f18\u52bf\u3002<\/p>\n<p>\u5b83\u4e3a\u6d4f\u89c8\u5668\u65b0\u589e\u4e86\u201c\u539f\u751f\u7ea7\u201d\u7684 AI \u63a8\u7406\u80fd\u529b\uff0c\u8ba9\u5f00\u53d1\u8005\u80fd\u591f\u76f4\u63a5\u5728\u7f51\u9875\u4e2d\u6784\u5efa\u4e4b\u524d\u96be\u4ee5\u5b9e\u73b0\u7684\u5b9e\u65f6\u3001\u4f4e\u5ef6\u8fdf\u667a\u80fd\u5e94\u7528\u3002<\/p>\n<h2>\u56db\u3001\u5b9e\u6218\u524d\u77bb\uff1a\u4ece\u542f\u7528 flag \u5230\u4ee3\u7801\u793a\u4f8b<\/h2>\n<h3>4.1\u8981\u6c42\u548c\u8bbe\u7f6e<\/h3>\n<table class=\"data-table\" data-transient-attributes=\"class\" data-width=\"1016.16px\">\n<colgroup data-id=\"c7104f7d-0TD51GTX\">\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-TlqC1A0L\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-DDEIOaUP\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-rSBeFZpN\" \/>\n<col span=\"1\" width=\"203.219\" data-id=\"cd89ecb0-WTWoTqBY\" \/>\n<col span=\"1\" width=\"203.281\" data-id=\"cd89ecb0-OShvIXKR\" \/><\/colgroup>\n<tbody data-id=\"t6d5e859-RnAQDCSA\">\n<tr data-id=\"t31e458f-SQHqW9TX\">\n<td data-id=\"t6267798-P90BjLzv\" data-transient-attributes=\"table-cell-selection\">\u786c\u4ef6<\/td>\n<td data-id=\"t6267798-EFNn7EBh\" data-transient-attributes=\"table-cell-selection\">Web \u6d4f\u89c8\u5668<\/td>\n<td data-id=\"t6267798-1BjskWN1\" data-transient-attributes=\"table-cell-selection\">Windows \u7248\u672c<\/td>\n<td data-id=\"t6267798-RXj56Lom\" data-transient-attributes=\"table-cell-selection\">ONNX \u8fd0\u884c\u65f6 Web \u7248\u672c<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-RwS1moxe\" data-transient-attributes=\"table-cell-selection\">\u9a71\u52a8\u7a0b\u5e8f\u7248\u672c<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-Cbg8jOKc\">\n<td data-id=\"t6267798-6lA7da3E\" data-transient-attributes=\"table-cell-selection\">\u56fe\u5f62\u5904\u7406\u5668<\/td>\n<td data-id=\"t6267798-82jvLmNB\" data-transient-attributes=\"table-cell-selection\">WebNN \u9700\u8981 Chromium \u6d4f\u89c8\u5668*\u3002 \u8bf7\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684 Microsoft Edge Beta\u3002<\/td>\n<td data-id=\"t6267798-tk3bYvpb\" data-transient-attributes=\"table-cell-selection\">\u6700\u4f4e\u7248\u672c\uff1aWindows 11 \u7248\u672c 21H2\u3002<\/td>\n<td data-id=\"t6267798-El6iq7er\" data-transient-attributes=\"table-cell-selection\">\u6700\u4f4e\u7248\u672c\uff1a1.18<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-W25Rj3mS\" data-transient-attributes=\"table-cell-selection\">\u4e3a\u60a8\u7684\u786c\u4ef6\u5b89\u88c5\u6700\u65b0\u7684\u9a71\u52a8\u7a0b\u5e8f\u3002<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-j3k1Lf81\">\n<td class=\"table-last-column\" data-id=\"t27933fe-VPqLH4c6\" data-transient-attributes=\"table-cell-selection\">NPU<\/td>\n<td class=\"table-last-column\" data-id=\"t27933fe-wnUmabr2\" data-transient-attributes=\"table-cell-selection\">WebNN \u9700\u8981 Chromium \u6d4f\u89c8\u5668*\u3002 \u8bf7\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684 Microsoft Edge Canary\u3002 \u6709\u5173\u5982\u4f55\u7981\u7528 GPU \u963b\u6b62\u5217\u8868\uff0c\u8bf7\u53c2\u9605\u4e0b\u9762\u7684\u6ce8\u91ca\u3002<\/td>\n<td class=\"table-last-column\" data-id=\"t27933fe-yJ9stRHT\" data-transient-attributes=\"table-cell-selection\">\u6700\u4f4e\u7248\u672c\uff1aWindows 11 \u7248\u672c 21H2\u3002<\/td>\n<td class=\"table-last-column\" data-id=\"t27933fe-i5dpjCKj\" data-transient-attributes=\"table-cell-selection\">\u6700\u4f4e\u7248\u672c\uff1a1.18<\/td>\n<td class=\"table-last-column table-last-row\" data-id=\"t27933fe-vMzIEswl\" data-transient-attributes=\"table-cell-selection\">Intel \u9a71\u52a8\u7a0b\u5e8f\u7248\u672c\uff1a32.0.100.2381\u3002\u202f\u6709\u5173\u5982\u4f55\u66f4\u65b0\u9a71\u52a8\u7a0b\u5e8f\u7684\u6b65\u9aa4\uff0c\u8bf7\u53c2\u9605\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<blockquote><p>\u786e\u4fdd\u4f60\u62e5\u6709WebNN \u8981\u6c42\u90e8\u5206[1]\u4e2d\u8be6\u8ff0\u7684 Edge\u3001Windows \u548c\u786c\u4ef6\u9a71\u52a8\u7a0b\u5e8f\u7684\u6b63\u786e\u7248\u672c\u3002<\/p><\/blockquote>\n<p><strong>\u76ee\u524d\uff0cWebNN \u5df2\u5728 Edge \u548c Chrome \u7684\u5f00\u53d1\u8005\u7248\u672c\u4e2d\u63d0\u4f9b\u5b9e\u9a8c\u6027\u652f\u6301\u3002\u8981\u5f00\u59cb\u4f53\u9a8c\uff0c\u53ea\u9700\u51e0\u6b65\uff1a<\/strong><\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_0\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\"># Chrome\/Edge \u5f00\u542f\u6b65\u9aa4\uff1a\r\n\r\n1. \u5728\u5730\u5740\u680f\u8f93\u5165 edge:\/\/flags \u6216 chrome:\/\/flags\u3002\r\n2. \u641c\u7d22\uff1aWebNN\r\n3. \u627e\u5230\uff1a\"Enable WebNN\"\r\n4. \u9009\u62e9\uff1aEnabled \u5c06\u5176\u542f\u7528\r\n5. \u91cd\u542f\u6d4f\u89c8\u5668\r\n\r\n# \u9a8c\u8bc1\u662f\u5426\u5f00\u542f\u6210\u529f\r\n\r\n\u6253\u5f00\u63a7\u5236\u53f0\uff0c\u8f93\u5165\uff1a\r\n\r\n&gt; 'ml' in navigator\r\n&gt; &lt; true # \u6210\u529f\uff01<\/code><\/pre>\n<ul id=\"code_id_0\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>4.2WebNN API<\/h3>\n<p>WebNN \u901a\u8fc7\u5206\u5c42\u62bd\u8c61\u7684\u8bbe\u8ba1\uff0c\u5c06\u590d\u6742\u7684\u786c\u4ef6\u52a0\u901f\u63a8\u7406\u7b80\u5316\u4e3a\u4e94\u4e2a\u6838\u5fc3 API \u7684\u534f\u4f5c\u3002<\/p>\n<table class=\"data-table\" data-transient-attributes=\"class\" data-width=\"1016.16px\">\n<colgroup data-id=\"c7104f7d-dBaBF1kD\">\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-7aI1atQ5\" \/>\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-ZDY4wWSg\" \/>\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-yHuJKSYF\" \/><\/colgroup>\n<tbody data-id=\"t6d5e859-YkmNFb43\">\n<tr data-id=\"t31e458f-Eckc8dKe\">\n<td data-id=\"t6267798-7pWnVxTN\" data-transient-attributes=\"table-cell-selection\"><strong>\u6b65\u9aa4<\/strong><\/td>\n<td data-id=\"t6267798-qdDEYBmU\" data-transient-attributes=\"table-cell-selection\"><strong>API<\/strong><\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-JOHTyu5l\" data-transient-attributes=\"table-cell-selection\"><strong>\u7528\u9014<\/strong><\/td>\n<\/tr>\n<tr data-id=\"t31e458f-Vi0NiGsK\">\n<td data-id=\"t6267798-G2h6tAga\" data-transient-attributes=\"table-cell-selection\"><strong>\u8fde\u63a5\u786c\u4ef6<\/strong><\/td>\n<td data-id=\"t6267798-VUVLcO4y\" data-transient-attributes=\"table-cell-selection\"><strong><code>navigator.ml.createContext()<\/code><\/strong><\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-4aJdak1j\" data-transient-attributes=\"table-cell-selection\">\u62ff\u5230\u201c\u8ba1\u7b97\u8f66\u95f4\u201d\u7684\u94a5\u5319<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-ki0kY9LW\">\n<td data-id=\"t27933fe-iehxTazL\" data-transient-attributes=\"table-cell-selection\"><strong>\u753b\u8ba1\u7b97\u56fe<\/strong><\/td>\n<td data-id=\"t27933fe-Z1pC9BvR\" data-transient-attributes=\"table-cell-selection\"><strong><code>new MLGraphBuilder(context)<\/code><\/strong><\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-0p8ulF8w\" data-transient-attributes=\"table-cell-selection\">\u5f53\u201c\u84dd\u56fe\u8bbe\u8ba1\u5e08\u201d<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-0J8tXVYi\">\n<td data-id=\"t6267798-zvW1g18E\" data-transient-attributes=\"table-cell-selection\"><strong>\u5b9a\u4e49\u8f93\u5165\/\u52a0\u8f7d\u6a21\u578b<\/strong><\/td>\n<td data-id=\"t6267798-PWTnue25\" data-transient-attributes=\"table-cell-selection\"><strong><code>builder.input() \u6216 builder.import()<\/code><\/strong><\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-HRAVjLTN\" data-transient-attributes=\"table-cell-selection\">\u544a\u8bc9\u6a21\u578b\u6570\u636e\u683c\u5f0f\uff0c\u6216\u76f4\u63a5\u5bfc\u5165\u9884\u8bad\u7ec3\u6a21\u578b<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-M3cVHpE4\">\n<td data-id=\"t27933fe-fwY0VA6P\" data-transient-attributes=\"table-cell-selection\"><strong>\u7f16\u8bd1\u4f18\u5316<\/strong><\/td>\n<td data-id=\"t27933fe-cub65Iae\" data-transient-attributes=\"table-cell-selection\"><strong><code>builder.build()<\/code><\/strong><\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-Zvwh3ToG\" data-transient-attributes=\"table-cell-selection\">\u5c06\u84dd\u56fe\u7f16\u8bd1\u4e3a\u9ad8\u6548\u7684\u201c\u673a\u5668\u7801\u201d<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-PSKCd128\">\n<td class=\"table-last-column\" data-id=\"t6267798-8SDnMeON\" data-transient-attributes=\"table-cell-selection\"><strong>\u6267\u884c\u8ba1\u7b97<\/strong><\/td>\n<td class=\"table-last-column\" data-id=\"t6267798-AMx0Trkp\" data-transient-attributes=\"table-cell-selection\"><strong><code>context.compute()<\/code><\/strong><\/td>\n<td class=\"table-last-column table-last-row\" data-id=\"t6267798-DX1dd0J8\" data-transient-attributes=\"table-cell-selection\">\u6295\u5165\u6570\u636e\uff0c\u4ea7\u51fa\u7ed3\u679c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>4.3\u516d\u6b65\u5b8c\u6574\u5de5\u4f5c\u6d41<\/h3>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_1\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">\/\/ \u5b8c\u6574WebNN\u5de5\u4f5c\u6d41\uff1a\u4ece\u52a0\u8f7d\u6a21\u578b\u5230\u6267\u884c\u63a8\u7406\r\nasyncfunction runWebNNModel() {\r\n\/\/ \u2705 \u7b2c1\u6b65\uff1a\u8fde\u63a5\u786c\u4ef6\r\nconst ctx = await navigator.ml.createContext(); \/\/ \u62ff\u94a5\u5319\r\n\r\n\/\/ \u2705 \u7b2c2\u6b65\uff1a\u753b\u8ba1\u7b97\u56fe\r\nconst builder = new MLGraphBuilder(ctx); \/\/ \u627e\u8bbe\u8ba1\u5e08\r\n\r\n\/\/ \u2705 \u7b2c3\u6b65\uff1a\u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\uff08\u5173\u952e\uff01\uff09\r\nconst modelUrl = 'models\/my_model.onnx'; \/\/ \u6a21\u578b\u6587\u4ef6\u8def\u5f84\r\nconst response = await fetch(modelUrl); \/\/ \u4e0b\u8f7d\u6a21\u578b\r\nconst modelData = await response.arrayBuffer(); \/\/ \u8f6c\u6210\u4e8c\u8fdb\u5236\r\n\r\n\/\/ \u2705 \u7b2c4\u6b65\uff1a\u5bfc\u5165\u5e76\u7f16\u8bd1\u6a21\u578b\r\nconst graph = await builder.import(modelData); \/\/ \u4e00\u952e\u5bfc\u5165ONNX\u6a21\u578b\r\n\/\/ \u6ce8\u610f\uff1aimport()\u5df2\u5305\u542b\u7f16\u8bd1\u8fc7\u7a0b\uff0c\u65e0\u9700\u5355\u72ecbuild()\r\n\r\n\/\/ \u2705 \u7b2c5\u6b65\uff1a\u51c6\u5907\u8f93\u5165\u6570\u636e\r\nconst inputData = newFloat32Array([1, 2, 3, 4]); \/\/ \u4f60\u7684\u6570\u636e\r\n\r\n\/\/ \u2705 \u7b2c6\u6b65\uff1a\u6267\u884c\u63a8\u7406\r\nconst result = await ctx.compute(graph, {\r\n    input_name: inputData, \/\/ \u6839\u636e\u6a21\u578b\u8c03\u6574\u8f93\u5165\u540d\u79f0\r\n  });\r\n\r\nreturn result.outputs;\r\n}<\/code><\/pre>\n<ul id=\"code_id_1\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<li>16.<\/li>\n<li>17.<\/li>\n<li>18.<\/li>\n<li>19.<\/li>\n<li>20.<\/li>\n<li>21.<\/li>\n<li>22.<\/li>\n<li>23.<\/li>\n<li>24.<\/li>\n<li>25.<\/li>\n<li>26.<\/li>\n<li>27.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u7528 WebNN API \u6784\u5efa\u4f60\u7684\u7b2c\u4e00\u4e2a\u56fe[2]<\/p>\n<h3>4.4\u5b9e\u6218\u89e3\u6790\uff1aWebNN \u4eba\u8138\u8bc6\u522b\u6280\u672f<\/h3>\n<blockquote><p>\u6211\u4eec\u4ee5\u5b98\u65b9\u4eba\u8138\u8bc6\u522b\u793a\u4f8b[3]\u4e3a\u4f8b\uff0c\u62c6\u89e3\u4e00\u4e2a\u771f\u5b9e\u9879\u76ee\u5982\u4f55\u8fd0\u7528 WebNN API\u3002<\/p><\/blockquote>\n<h4>\u793a\u4f8b\u4ecb\u7ecd\uff1a<\/h4>\n<p>\u901a\u8fc7\u7269\u4f53\u68c0\u6d4b\u6765\u68c0\u6d4b\u53c2\u4e0e\u8005\u7684\u9762\u90e8\uff0c\u5e76\u68c0\u67e5\u6bcf\u4e2a\u9762\u90e8\u662f\u5426\u5b58\u5728\u7684\u8fc7\u7a0b<\/p>\n<h5>\u793a\u4f8b\u6548\u679c:<\/h5>\n<p><img data-dominant-color=\"d8dad8\" data-has-transparency=\"false\" style=\"--dominant-color: #d8dad8;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-29299\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13.png\" width=\"1080\" height=\"623\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13-300x173.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13-1024x591.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13-150x87.png 150w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/36b7a9d427f4a50879b676f6f7aab9f4d42d13-768x443.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<h4>\u6838\u5fc3\u6a21\u578b<\/h4>\n<h5>\u53cc\u6a21\u578b\u534f\u4f5c<\/h5>\n<ul data-id=\"u738a58b-IILF0STC\">\n<li data-id=\"ld70c578-RCOK3aiS\"><strong>SSD MobileNet V2 Face<\/strong>\uff1a\u8d1f\u8d23\u68c0\u6d4b\u56fe\u50cf\u4e2d\u7684\u4eba\u8138\u4f4d\u7f6e\uff0c\u8f93\u51fa\u8fb9\u754c\u6846\u5750\u6807<\/li>\n<li data-id=\"ld70c578-GdfXYdiN\"><strong><span class=\"\">FaceNet<\/span><\/strong>\uff1a\u5c06\u68c0\u6d4b\u5230\u7684\u4eba\u8138\u8f6c\u6362\u4e3a 512 \u7ef4\u5d4c\u5165\u5411\u91cf\uff0c\u7528\u4e8e\u8eab\u4efd\u8bc6\u522b\u548c\u76f8\u4f3c\u5ea6\u8ba1\u7b97<\/li>\n<\/ul>\n<h4>\u672c\u5730\u6a21\u578b\u52a0\u8f7d<\/h4>\n<h5>1. \u6743\u91cd\u6587\u4ef6\u8def\u5f84\u914d\u7f6e<\/h5>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_2\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">\/\/ webnn-samples\/face_recognition\/facenet_nhwc.js\r\n\r\n\/\/ \u914d\u7f6e\u672c\u5730\u6743\u91cd\u6587\u4ef6\u8def\u5f84\r\nthis.weightsUrl_ = weightsOrigin() + '\/test-data\/models\/facenet_nhwc\/weights';<\/code><\/pre>\n<ul id=\"code_id_2\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h5>2. NumPy \u6743\u91cd\u6587\u4ef6\u52a0\u8f7d<\/h5>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_3\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">\/\/ webnn-samples\/face_recognition\/facenet_nhwc.js\r\n\r\nasync buildConv_(input, namePrefix, options = undefined, relu = true) {\r\n\/\/ \u6784\u5efa\u6743\u91cd\u6587\u4ef6\u8def\u5f84\r\nconst weightsName = `${this.weightsUrl_}\/${namePrefix}_kernel.npy`;\r\nconst biasName = `${this.weightsUrl_}\/${namePrefix}_Conv2D_bias.npy`;\r\n\r\n\/\/ \u5e76\u884c\u52a0\u8f7d\u6743\u91cd\u548c\u504f\u7f6e\r\nconst [weights, bias] = awaitPromise.all([\r\n    weightsName, biasName,\r\n  ].map((name) =&gt; buildConstantByNpy(this.builder_, name)));\r\n\r\n\/\/ \u6784\u5efa\u5377\u79ef\u5c42\r\nconst conv2d = this.builder_.conv2d(input, weights, options);\r\nreturn relu ? this.builder_.relu(conv2d) : conv2d;\r\n}<\/code><\/pre>\n<ul id=\"code_id_3\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<li>16.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h5>3. \u6743\u91cd\u6587\u4ef6\u89e3\u6790<\/h5>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_4\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">\/\/ webnn\/webnn-samples\/common\/utils.js\r\n\r\n\/\/ \u4ece NumPy \u6587\u4ef6\u6784\u5efa\u5e38\u91cf\u5f20\u91cf\r\nasyncfunction buildConstantByNpy(builder, url, targetType = 'float32') {\r\nconst response = await fetch(url);\r\nconst buffer = await response.arrayBuffer();\r\nconst npArray = new numpy.Array(newUint8Array(buffer));\r\n\/\/ \u8f6c\u6362\u4e3a WebNN \u5e38\u91cf\u5f20\u91cf\r\nreturn builder.constant(\r\n    { dataType: type, dimensions: shape, shape },\r\n    typedArray,\r\n  );\r\n}<\/code><\/pre>\n<ul id=\"code_id_4\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h4>WebNN API \u6838\u5fc3\u8c03\u7528<\/h4>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_5\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">\/\/ webnn\/webnn-samples\/face_recognition\/facenet_nhwc.js\r\n\r\n\/\/ 1\u3001\u521b\u5efa WebNN \u4e0a\u4e0b\u6587\uff0c\u6307\u5b9a\u8fd0\u884c\u8bbe\u5907\r\nthis.context_ = await navigator.ml.createContext({deviceType: 'gpu'});\r\n\r\n\/\/ 2\u3001\u6784\u5efa\u8ba1\u7b97\u56fe\r\n\/\/ 2.1\u3001\u521b\u5efa\u8ba1\u7b97\u56fe\u6784\u5efa\u5668\r\nthis.builder_ = new MLGraphBuilder(this.context_);\r\n\/\/ 2.2\u3001\u5b9a\u4e49\u8f93\u5165\u5f20\u91cf\r\nconst inputDesc = {\r\ndataType: 'float32',\r\ndimensions: this.inputOptions.inputShape,\r\nshape: this.inputOptions.inputShape,\r\n};\r\nconst input = this.builder_.input('input', inputDesc);\r\n\/\/ 2.3\u3001\u6784\u5efa\u7f51\u7edc\u5c42\r\nconst conv0 = this.buildConv_(input, 'Conv2d_1a_3x3', {strides});\r\nconst pool0 = conv2.then((conv2) =&gt;\r\nthis.builder_.maxPool2d(conv2, poolOptions));\r\n\r\n\/\/ 3\u3001\u7f16\u8bd1\u8ba1\u7b97\u56fe\r\nthis.graph_ = awaitthis.builder_.build({'output': outputOperand});\r\n\r\n\/\/ 4\u3001\u6267\u884c\u63a8\u7406\r\nasync compute(inputBuffer) {\r\n\/\/ \u5199\u5165\u8f93\u5165\u6570\u636e\r\nthis.context_.writeTensor(this.inputTensor_, inputBuffer);\r\nconst inputs = {'input': this.inputTensor_};\r\nconst outputs = {'output': this.outputTensor_};\r\n\r\n\/\/ \u6267\u884c\u8ba1\u7b97\r\nthis.context_.dispatch(this.graph_, inputs, outputs);\r\n\r\n\/\/ \u8bfb\u53d6\u8f93\u51fa\u7ed3\u679c\r\nconst results = awaitthis.context_.readTensor(this.outputTensor_);\r\nreturnnewFloat32Array(results);\r\n}<\/code><\/pre>\n<ul id=\"code_id_5\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<li>16.<\/li>\n<li>17.<\/li>\n<li>18.<\/li>\n<li>19.<\/li>\n<li>20.<\/li>\n<li>21.<\/li>\n<li>22.<\/li>\n<li>23.<\/li>\n<li>24.<\/li>\n<li>25.<\/li>\n<li>26.<\/li>\n<li>27.<\/li>\n<li>28.<\/li>\n<li>29.<\/li>\n<li>30.<\/li>\n<li>31.<\/li>\n<li>32.<\/li>\n<li>33.<\/li>\n<li>34.<\/li>\n<li>35.<\/li>\n<li>36.<\/li>\n<li>37.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>4.5\u4e30\u5bcc\u5e94\u7528\u573a\u666f\u4e0e\u5e7f\u6cdb\u786c\u4ef6\u652f\u6301<\/h3>\n<table class=\"data-table\" data-transient-attributes=\"class\" data-width=\"1016.16px\">\n<colgroup data-id=\"c7104f7d-nEjVg014\">\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-CR7nme9y\" \/>\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-Cooi0b9P\" \/>\n<col span=\"1\" width=\"338.719\" data-id=\"cd89ecb0-HcuASh5Z\" \/><\/colgroup>\n<tbody data-id=\"t6d5e859-mRZejdef\">\n<tr data-id=\"t31e458f-DbK2jlQl\">\n<td data-id=\"t6267798-6CnyhneJ\" data-transient-attributes=\"table-cell-selection\">\u7528\u4f8b\u540d\u79f0<\/td>\n<td data-id=\"t6267798-tjXRkbdI\" data-transient-attributes=\"table-cell-selection\">\u5e94\u7528\u573a\u666f\u63cf\u8ff0<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-4R8flcrF\" data-transient-attributes=\"table-cell-selection\">\u5178\u578b\u6280\u672f\/\u6a21\u578b<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-qBX1vlrA\">\n<td data-id=\"t6267798-jCkjC7dI\" data-transient-attributes=\"table-cell-selection\">\u4eba\u5458\u68c0\u6d4b<\/td>\n<td data-id=\"t6267798-rgmAzZGR\" data-transient-attributes=\"table-cell-selection\">\u89c6\u9891\u4f1a\u8bae\u4e2d\u68c0\u6d4b\u662f\u5426\u6709\u4eba\uff0c\u4eba\u79bb\u5f00\/\u8fd4\u56de\u65f6\u81ea\u52a8\u5904\u7406\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-OPhe9QcW\" data-transient-attributes=\"table-cell-selection\">SSD, YOLO<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-UURK7nq6\">\n<td data-id=\"t27933fe-M7yIMrJY\" data-transient-attributes=\"table-cell-selection\">\u8bed\u4e49\u5206\u5272<\/td>\n<td data-id=\"t27933fe-v0Zy4GQV\" data-transient-attributes=\"table-cell-selection\">\u5f00\u4f1a\u65f6\u4e00\u952e\u66ff\u6362\u6216\u865a\u5316\u80cc\u666f\uff0c\u4fdd\u62a4\u9690\u79c1\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-CPWTINE0\" data-transient-attributes=\"table-cell-selection\">DeepLabv3+, Mask R-CNN, SegAny<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-n58EiUIj\">\n<td data-id=\"t6267798-Z8XliDUn\" data-transient-attributes=\"table-cell-selection\">\u9aa8\u9abc\u68c0\u6d4b<\/td>\n<td data-id=\"t6267798-Ysl2Mwul\" data-transient-attributes=\"table-cell-selection\">\u901a\u8fc7\u6444\u50cf\u5934\u8bc6\u522b\u4e3e\u624b\u7b49\u52a8\u4f5c\uff0c\u5b9e\u73b0\u624b\u52bf\u63a7\u5236\uff08\u5982\u4e3e\u624b\u53d1\u8a00\uff09\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-Bta3O3AT\" data-transient-attributes=\"table-cell-selection\">PoseNet<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-bfLNYKnY\">\n<td data-id=\"t27933fe-dICjzigI\" data-transient-attributes=\"table-cell-selection\">\u4eba\u8138\u8bc6\u522b<\/td>\n<td data-id=\"t27933fe-3N13dZDH\" data-transient-attributes=\"table-cell-selection\">\u4f1a\u8bae\u4e2d\u8bc6\u522b\u4e0e\u4f1a\u8005\u8eab\u4efd\uff0c\u6216\u7528\u4e8e\u7b7e\u5230\u3001\u95e8\u7981\u7b49\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-55BQozw1\" data-transient-attributes=\"table-cell-selection\">SSD, FaceNet<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-C2BtkQjl\">\n<td data-id=\"t6267798-pmYUintb\" data-transient-attributes=\"table-cell-selection\">\u9762\u90e8\u7279\u5f81\u70b9<\/td>\n<td data-id=\"t6267798-3jiUBzhY\" data-transient-attributes=\"table-cell-selection\">\u5728\u7ebf\u8bd5\u6234\u773c\u955c\u3001\u865a\u62df\u5316\u5986\uff0c\u7cbe\u51c6\u8d34\u5408\u9762\u90e8\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-Wgah5sCy\" data-transient-attributes=\"table-cell-selection\">Face Alignment Network (FAN)<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-kiBhFNHe\">\n<td data-id=\"t27933fe-7Svg66qN\" data-transient-attributes=\"table-cell-selection\">\u56fe\u50cf\u63cf\u8ff0<\/td>\n<td data-id=\"t27933fe-GOZzbBCS\" data-transient-attributes=\"table-cell-selection\">\u4e3a\u56fe\u7247\u81ea\u52a8\u751f\u6210\u6587\u5b57\u8bf4\u660e\uff0c\u52a9\u529b\u65e0\u969c\u788d\u8bbf\u95ee\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t27933fe-5ikVxuTg\" data-transient-attributes=\"table-cell-selection\">im2txt<\/td>\n<\/tr>\n<tr data-id=\"t31e458f-kMObo6sX\">\n<td data-id=\"t6267798-v0jGJbEM\" data-transient-attributes=\"table-cell-selection\">\u8bed\u97f3\u8bc6\u522b<\/td>\n<td data-id=\"t6267798-tB7uuQdY\" data-transient-attributes=\"table-cell-selection\">\u8bed\u97f3\u5b9e\u65f6\u8f6c\u6587\u5b57\uff0c\u7528\u4e8e\u4f1a\u8bae\u5b57\u5e55\u3001\u8bed\u97f3\u641c\u7d22\u7b49\u3002<\/td>\n<td class=\"table-last-row\" data-id=\"t6267798-c86fQNU3\" data-transient-attributes=\"table-cell-selection\">Whisper<\/td>\n<\/tr>\n<tr data-id=\"td7f8b0e-aSL3nHgV\">\n<td class=\"table-last-column\" data-id=\"t27933fe-04CwY88o\" data-transient-attributes=\"table-cell-selection\">\u6587\u672c\u751f\u6210<\/td>\n<td class=\"table-last-column\" data-id=\"t27933fe-vANdhWzf\" data-transient-attributes=\"table-cell-selection\">\u667a\u80fd\u804a\u5929\u3001\u5185\u5bb9\u7eed\u5199\u3001\u7ffb\u8bd1\u603b\u7ed3\uff0c\u8d4b\u80fd\u5927\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u3002<\/td>\n<td class=\"table-last-column table-last-row\" data-id=\"t27933fe-5G8eXnEO\" data-transient-attributes=\"table-cell-selection\">GPT-2, LLaMA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4e94\u3001\u6838\u5fc3\u67b6\u6784\uff1a\u56db\u5c42\u6a21\u578b\u89e3\u8bfb WebNN \u5982\u4f55\u5de5\u4f5c<\/h2>\n<p><img data-dominant-color=\"dde1e4\" data-has-transparency=\"false\" style=\"--dominant-color: #dde1e4;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-29300\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/916614528526bd706988753fc304cc143bee30.png\" width=\"940\" height=\"423\" alt=\"\u56fe\u7247\" title=\"\u56fe\u7247\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/916614528526bd706988753fc304cc143bee30.png 940w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/916614528526bd706988753fc304cc143bee30-300x135.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/916614528526bd706988753fc304cc143bee30-150x68.png 150w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2026\/05\/916614528526bd706988753fc304cc143bee30-768x346.png 768w\" sizes=\"auto, (max-width: 940px) 100vw, 940px\" \/><span class=\"data-image-title\">\u56fe\u7247<\/span><\/p>\n<h3>\u7406\u89e3 WebNN \u67b6\u6784\u56fe\uff1a<\/h3>\n<h4>\u7f51\u9875\u5e94\u7528\u5c42<\/h4>\n<ul data-id=\"u738a58b-KAKRHIiE\">\n<li data-id=\"ld70c578-rX6HPVFc\"><strong>ONNX \u6a21\u578b\u3001\u5f20\u91cf\u6d41\u6a21\u578b\u3001\u5176\u4ed6\u6a21\u578b<\/strong>\uff1a\u8fd9\u4e9b\u662f\u9884\u8bad\u7ec3\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u53ef\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u3001\u7269\u4f53\u68c0\u6d4b\u7b49\u591a\u79cd\u4efb\u52a1\u3002<\/li>\n<li data-id=\"ld70c578-I0PHDWfJ\"><strong>JS \u673a\u5668\u5b66\u4e60\u6846\u67b6\uff08TensorFlow.js\u3001ONNX.js \u7b49\uff09\uff1a<\/strong>\u00a0\u57fa\u4e8e JavaScript \u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u63d0\u4f9b\u5de5\u5177\u548c\u5e93\uff0c\u76f4\u63a5\u5728 Web \u5e94\u7528\u4e2d\u4e0e\u8fd9\u4e9b\u6a21\u578b\u534f\u4f5c\u3002<\/li>\n<\/ul>\n<h4>\u7f51\u9875\u6d4f\u89c8\u5668\u5c42<\/h4>\n<ul data-id=\"u738a58b-amh73AKD\">\n<li data-id=\"ld70c578-ZAnet5Xm\"><strong>WebGPU<\/strong>\uff1a\u4e00\u79cd\u5229\u7528 GPU \u63d0\u4f9b\u9ad8\u6027\u80fd\u56fe\u5f62\u548c\u7f51\u9875\u8ba1\u7b97\u7684\u7f51\u9875\u6807\u51c6\u3002<\/li>\n<li data-id=\"ld70c578-lSW1t459\"><strong>WebNN<\/strong>\uff1a\u7f51\u7edc\u795e\u7ecf\u7f51\u7edc API\uff0c\u63d0\u4f9b\u4e00\u4e2a\u9ad8\u7ea7\u63a5\u53e3\uff0c\u7528\u4e8e\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\u795e\u7ecf\u7f51\u7edc\u63a8\u65ad\u3002<\/li>\n<li data-id=\"ld70c578-fTbqFBh8\"><strong>WebAssembly<\/strong>\uff1a\u4e00\u79cd\u7528\u4e8e\u6808\u865a\u62df\u673a\u7684\u4e8c\u8fdb\u5236\u6307\u4ee4\u683c\u5f0f\uff0c\u4f7f\u9ad8\u6027\u80fd\u5e94\u7528\u7a0b\u5e8f\u80fd\u591f\u5728\u7f51\u9875\u4e0a\u8fd0\u884c\u3002<\/li>\n<\/ul>\n<h4>\u539f\u751f\u673a\u5668\u5b66\u4e60 API \u5c42<\/h4>\n<ul data-id=\"u738a58b-S1B5hDU9\">\n<li data-id=\"ld70c578-OjKJRI8u\"><strong>\u673a\u5668\u5b66\u4e60\u8ba1\u7b97\uff08MacOS\/iOS\uff09\uff1a<\/strong>\u00a0\u82f9\u679c\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u7528\u4e8e\u5728 macOS \u548c iOS \u8bbe\u5907\u4e0a\u6267\u884c\u9ad8\u6027\u80fd\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n<li data-id=\"ld70c578-DRSZLmC8\"><strong>DirectML\uff08Windows\uff09\uff1a<\/strong>\u00a0Microsoft \u7684\u76f4\u63a5\u673a\u5668\u5b66\u4e60 API\uff0c\u63d0\u4f9b Windows \u4e0a\u7684 GPU \u52a0\u901f\u673a\u5668\u5b66\u4e60\u3002<\/li>\n<li data-id=\"ld70c578-h9wpORh5\"><strong>NN API\uff08Android\uff09\uff1a<\/strong>\u00a0Android \u7684\u795e\u7ecf\u7f51\u7edc API\uff0c\u63d0\u4f9b\u786c\u4ef6\u52a0\u901f\u7684\u63a8\u7406\uff0c\u9002\u7528\u4e8e Android \u8bbe\u5907\u3002<\/li>\n<li data-id=\"ld70c578-aiYojO9F\"><strong>OpenVINO\uff08Linux\uff09\uff1a<\/strong>\u00a0\u82f1\u7279\u5c14\u7528\u4e8e\u5728 Linux \u4e0a\u90e8\u7f72\u9ad8\u6027\u80fd\u673a\u5668\u5b66\u4e60\u63a8\u7406\u7684\u5f00\u653e\u89c6\u89c9\u63a8\u7406\u548c\u795e\u7ecf\u7f51\u7edc\u4f18\u5316\u5de5\u5177\u5305\u3002<\/li>\n<\/ul>\n<h4>\u786c\u4ef6\u5c42<\/h4>\n<ul data-id=\"u738a58b-c7VqQAJN\">\n<li data-id=\"ld70c578-5PvLh7Pn\"><strong>CPU<\/strong>\uff1a\u4e2d\u592e\u5904\u7406\u5668\uff0c\u8ba1\u7b97\u673a\u4e2d\u7684\u901a\u7528\u5904\u7406\u5668\u3002<\/li>\n<li data-id=\"ld70c578-eZ5rhPDF\"><strong>GPU<\/strong>\uff1a\u56fe\u5f62\u5904\u7406\u5355\u5143\uff0c\u4e13\u95e8\u7528\u4e8e\u5e76\u884c\u5904\u7406\uff0c\u5e38\u7528\u4e8e\u52a0\u901f\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n<li data-id=\"ld70c578-P8M6Y0tU\"><strong>Machine Learning Accelerator<\/strong>\uff1a\u673a\u5668\u5b66\u4e60\u52a0\u901f\u5668\uff0c\u4e13\u95e8\u4e3a\u52a0\u901f\u673a\u5668\u5b66\u4e60\u8ba1\u7b97\u8bbe\u8ba1\u7684\u786c\u4ef6\uff08\u4f8b\u5982\uff0c\u6838\u7535\u6e90\u5355\u5143\uff08NPU\uff09\u3001TPU\u3002<\/li>\n<\/ul>\n<p><strong>\u7b80\u5355\u7406\u89e3<\/strong>\uff0cWebNN \u5145\u5f53\u7edf\u4e00\u7684\u9002\u914d\u5c42\uff0c\u5bf9\u4e0a\u63d0\u4f9b\u6807\u51c6\u63a5\u53e3\uff0c\u5bf9\u4e0b\u5219\u901a\u8fc7\u5404\u64cd\u4f5c\u7cfb\u7edf\u7684\u539f\u751f API\uff08\u5982 DirectML\u3001NNAPI\uff09\u6765\u8c03\u5ea6 CPU\u3001GPU \u6216 NPU \u8fdb\u884c\u8ba1\u7b97\uff0c\u4ece\u800c\u5728\u6d4f\u89c8\u5668\u5185\u5b9e\u73b0\u63a5\u8fd1\u539f\u751f\u7684\u6027\u80fd\u3002<\/p>\n<h2>\u516d\u3001\u672a\u6765\u5c55\u671b<\/h2>\n<p>WebNN \u7684\u610f\u4e49\u8fdc\u4e0d\u6b62\u4e8e\u4e00\u9879\u6280\u672f\u4f18\u5316\uff0c\u5b83\u4ee3\u8868\u7740 Web \u4f5c\u4e3a\u5e94\u7528\u5e73\u53f0\u7684\u4e00\u6b21\u5173\u952e\u8fdb\u5316\uff1a<\/p>\n<ul data-id=\"u738a58b-aORIYlrB\">\n<li data-id=\"ld70c578-bmiOjVFS\"><strong>\u8d4b\u80fd\u5f00\u53d1\u8005<\/strong>\uff1a\u6781\u5927\u964d\u4f4e\u4e86\u5728 Web \u4e2d\u96c6\u6210\u9ad8\u6027\u80fd AI \u7684\u95e8\u69db\uff0c\u8ba9\u524d\u7aef\u5f00\u53d1\u8005\u4e5f\u80fd\u8f7b\u677e\u6784\u5efa\u667a\u80fd\u5e94\u7528\u3002<\/li>\n<li data-id=\"ld70c578-iQWm5oK1\"><strong>\u6210\u672c\u4e0e\u4f53\u9a8c<\/strong>\uff1a\u5c06\u8ba1\u7b97\u8d1f\u8f7d\u8f6c\u79fb\u81f3\u5ba2\u6237\u7aef\uff0c\u51cf\u5c11\u4e86\u670d\u52a1\u7aef\u6210\u672c\uff0c\u5e76\u5b9e\u73b0\u4e86<strong>\u79bb\u7ebf\u53ef\u7528<\/strong>\u7684 AI \u529f\u80fd\uff0c\u7528\u6237\u4f53\u9a8c\u66f4\u8fde\u8d2f\u3002<\/li>\n<li data-id=\"ld70c578-amiDHhlV\"><strong>\u9690\u79c1\u4f18\u5148<\/strong>\uff1a\u987a\u5e94\u4e86\u6570\u636e\u9690\u79c1\u4fdd\u62a4\u65e5\u76ca\u91cd\u8981\u7684\u8d8b\u52bf\uff0c\u4e3a\u6784\u5efa\u201c\u9690\u79c1\u4f18\u5148\u201d\u7684 AI \u5e94\u7528\u63d0\u4f9b\u4e86\u539f\u751f\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<li data-id=\"ld70c578-TUuNBYGF\"><strong>\u50ac\u5316\u521b\u65b0<\/strong>\uff1a\u5b83\u4e3a\u5728<strong>\u8fb9\u7f18\u8bbe\u5907<\/strong>\u4e0a\u8fd0\u884c\u66f4\u590d\u6742\u7684 AI \u6a21\u578b\u94fa\u5e73\u4e86\u9053\u8def\uff0c\u5c06\u50ac\u751f\u4e00\u6279\u524d\u6240\u672a\u6709\u7684\u5b9e\u65f6\u3001\u4ea4\u4e92\u5f0f\u3001\u9ad8\u9690\u79c1\u4fdd\u62a4\u7684 Web \u5e94\u7528\u3002<\/li>\n<\/ul>\n<h2>\u4e03\u3001\u603b\u7ed3<\/h2>\n<p>WebNN \u662f\u4e00\u9879\u6781\u5177\u524d\u666f\u7684 Web \u6807\u51c6\uff0c\u65e8\u5728\u8ba9 AI \u6a21\u578b\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\uff0c\u5b83\u4ee3\u8868\u7740\u672a\u6765 Web \u5e94\u7528\u5411\u672c\u5730\u3001\u5b9e\u65f6\u3001\u9690\u79c1\u5b89\u5168\u667a\u80fd\u6f14\u8fdb\u7684\u65b9\u5411\u3002 \u7136\u800c\uff0c\u4f5c\u4e3a\u4e00\u9879\u524d\u6cbf\u6280\u672f\uff0c\u5b83\u76ee\u524d\u4ecd\u5904\u4e8e\u65e9\u671f\u53d1\u5c55\u9636\u6bb5\uff0c\u6d4f\u89c8\u5668\u652f\u6301\u6709\u9650\uff0c\u5c1a\u4e0d\u9002\u5408\u7528\u4e8e\u8981\u6c42\u7a33\u5b9a\u6027\u7684\u751f\u4ea7\u73af\u5883\u3002 \u56e0\u6b64\uff0c\u5bf9\u4e8e\u5f00\u53d1\u8005\u7684\u6700\u4f73\u7b56\u7565\u662f\uff1a\u62e5\u62b1\u672a\u6765\uff0c\u4f46\u7acb\u8db3\u5f53\u4e0b\u3002<\/p>\n<p>\u5177\u4f53\u6765\u8bf4\uff1a<\/p>\n<ul data-id=\"u738a58b-eY1jTUZd\">\n<li data-id=\"ld70c578-rUubvYj2\"><strong>\u4fdd\u6301\u5173\u6ce8\u4e0e\u5b66\u4e60<\/strong>\uff1a\u79ef\u6781\u4e86\u89e3 WebNN \u7684\u6838\u5fc3\u7406\u5ff5\u548c API \u8bbe\u8ba1\uff0c\u8fd9\u6709\u52a9\u4e8e\u628a\u63e1\u6280\u672f\u8d8b\u52bf\u3002\u53ef\u4ee5\u5728\u5b9e\u9a8c\u6027\u9879\u76ee\u4e2d\u5c1d\u9c9c\uff0c\u4e3a\u672a\u6765\u505a\u51c6\u5907\u3002<\/li>\n<li data-id=\"ld70c578-2PgDjH1w\"><strong>\u4f7f\u7528\u73b0\u6709\u6210\u719f\u65b9\u6848<\/strong>\uff1a\u5728\u5f53\u524d\u7684\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u5e94\u4f18\u5148\u9009\u62e9 TensorFlow.js\u3001ONNX Runtime Web \u7b49\u7ecf\u8fc7\u5145\u5206\u9a8c\u8bc1\u3001\u751f\u6001\u6210\u719f\u7684\u6280\u672f\u6765\u6784\u5efa AI 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\u6784\u5efa\u4f60\u7684\u7b2c\u4e00\u4e2a\u56fe: https:\/\/webmachinelearning.github.io\/get-started\/2021\/03\/15\/build-your-first-graph-with-webnn-api.html<\/li>\n<li data-id=\"ld70c578-5dhf6AKi\">[3] \u4eba\u8138\u8bc6\u522b\u793a\u4f8b: https:\/\/github.com\/webmachinelearning\/webnn-samples\/tree\/master\/face_recognition<\/li>\n<li data-id=\"ld70c578-ABDMTKSH\">[4] Web Neural Network API\uff08W3C Candidate Recommendation Draft\uff09: https:\/\/www.w3.org\/TR\/webnn\/<\/li>\n<li data-id=\"ld70c578-UajC84kL\">[5] WebNN \u6559\u7a0b | Microsoft Learn: https:\/\/learn.microsoft.com\/en-us\/windows\/ai\/directml\/webnn-tutorial<\/li>\n<li data-id=\"ld70c578-V5fpL4Xj\">[6] WebNN | \u7f51\u7edc\u673a\u5668\u5b66\u4e60: https:\/\/webmachinelearning.github.io\/webnn-intro\/<\/li>\n<li data-id=\"ld70c578-XVQFuFIT\">[7] github.com\/webmachinelearning\/webnn: https:\/\/github.com\/webmachinelearning\/webnn<\/li>\n<li data-id=\"ld70c578-dh0o3Sn5\">[8] WebNN 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