{"id":2611,"date":"2018-04-05T17:27:58","date_gmt":"2018-04-05T09:27:58","guid":{"rendered":"http:\/\/www.xttblog.com\/?p=2611"},"modified":"2018-04-05T17:27:58","modified_gmt":"2018-04-05T09:27:58","slug":"tensorflow-js-%e6%95%99%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.xttblog.com\/?p=2611","title":{"rendered":"TensorFlow.js \u6559\u7a0b"},"content":{"rendered":"

\n\ttfjs \u662f TensorFlow \u63a8\u51fa\u7684\u4e00\u6b3e web \u7aef\u7684\u6df1\u5ea6\u5b66\u4e60\u7c7b\u5e93\u3002TensorFlow.js<\/a> \u662f\u4e00\u4e2a\u5f00\u6e90\u786c\u4ef6\u52a0\u901f\u7684JavaScript\u5e93 \u57f9\u8bad\u548c\u90e8\u7f72\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u81ea\u5f00\u6e90\u5230 github \u4e0a\u4ee5\u540e\uff0c\u6df1\u53d7\u5927\u5bb6\u7684\u5e0c\u671b\u3002\u56e0\u6b64\u6211\u5728\u7b2c\u4e00\u65f6\u95f4\u4e0a\u624b\u7528\u4e86\u7528\uff0c\u672c\u6587\u5c06\u5206\u4eab\u5b83\u7684\u4e00\u4e9b\u6559\u7a0b\u3002\n<\/p>\n

\n\tTensorFlow.js<\/a> \u662f Google \u53d1\u5e03\u9762\u5411 JavaScript \u5f00\u53d1\u8005\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\u3002\u5728\u6d4f\u89c8\u5668\u4e0a\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u66f4\u5bb9\u6613\u4e86\uff01TensorFlow \u6280\u672f\u7ed3\u5408 Javascript\uff0c\u5927\u5e45\u964d\u4f4e\u5f00\u53d1\u8005\u5728\u6d4f\u89c8\u5668\u53d1\u5c55\u673a\u5668\u5b66\u4e60\u7684\u95e8\u69db\u3002Google \u8868\u793a\uff0c\u968f\u7740 Javascript \u4e0e\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u53d1\u5c55\uff0c\u5728\u6d4f\u89c8\u5668\u4e0a\u5df2\u7ecf\u53ef\u4ee5\u5b8c\u5168\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u6240\u6709\u5de5\u4f5c\uff0c\u5305\u542b\u5b9a\u4e49\u3001\u8bad\u7ec3\u4ee5\u53ca\u8fd0\u884c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\n<\/p>\n

\n\tGoogle \u8868\u793a\uff0c\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\u673a\u5668\u5b66\u4e60\uff0c\u8fd9\u610f\u5473\u7740\u4e0d\u9700\u8981\u5b89\u88c5\u4efb\u4f55\u51fd\u6570\u5e93\u6216\u8005\u9a71\u52a8\u7a0b\u5e8f\uff0c\u53ea\u8981\u6253\u5f00\u7f51\u9875\uff0c\u7a0b\u5e8f\u5c31\u53ef\u4ee5\u8fd0\u884c\u3002\u53e6\u5916\uff0cTensorFlow.js \u652f\u6301 WebGL\uff0c\u56e0\u6b64\u4e5f\u80fd\u4f7f\u7528 GPU \u52a0\u901f\u8fd0\u7b97\u3002\n<\/p>\n

\n\tTensorFlow.js<\/a> \u63d0\u4f9b\u4e09\u79cd\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5904\u7406\u5404\u9636\u6bb5\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\n<\/p>\n

\n\t\u7b2c\u4e00\u3001\u5f00\u53d1\u8005\u80fd\u5c06\u4ee5 TensorFlow \u6216 Keras \u9884\u5148\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0c\u8f6c\u6362\u6210 TensorFlow.js<\/a> \u683c\u5f0f\uff0c\u5e76\u8f7d\u5165\u5230\u6d4f\u89c8\u5668\u4e2d\u8fdb\u884c\u63a8\u7b97\u3002\n<\/p>\n

\n\t\u7b2c\u4e8c\u3001\u5f00\u53d1\u8005\u4e0d\u4ec5\u53ef\u4ee5\u8f7d\u5165\u4e00\u4e2a\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u8fd8\u80fd\u7528\u4ece\u4f7f\u7528\u8005\u6d4f\u89c8\u5668\u4e2d\u6536\u96c6\u5230\u7684\u56fe\u50cf\u8d44\u6599\uff0c\u518d\u8bad\u7ec3\u8fd9\u4e2a\u6a21\u578b\uff0c\u8fd9\u4e2a\u6280\u672f\u79f0\u4e3a Image Retraining\uff0cGoogle \u8868\u793a\uff0cPAC- MAN \u6e38\u620f\u793a\u4f8b\u7a0b\u5e8f\u5c31\u662f\u4ee5\u8fd9\u4e2a\u6a21\u5f0f\u8fdb\u884c\uff0c\u8fd9\u65b9\u6cd5\u7684\u597d\u5904\u662f\u53ea\u8981\u4f7f\u7528\u5c11\u91cf\u7684\u8d44\u6599\u5c31\u80fd\u8ba9\u6a21\u578b\u53d8\u5f97\u66f4\u52a0\u7cbe\u51c6\u3002\n<\/p>\n

\n\t\u5f53\u7136\u4f7f\u7528\u8005\u4e5f\u80fd\u5728\u6d4f\u89c8\u5668\u4e2d\uff0c\u4ece\u5934\u5f00\u59cb\u5efa\u7acb\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u4f7f\u7528 TensorFlow.js \u63d0\u4f9b\u7684 API\uff0c\u5b8c\u5168\u5728\u6d4f\u89c8\u5668\u4e2d\u5b9a\u4e49\u3001\u8bad\u7ec3\u4ee5\u53ca\u8fd0\u884c\u6a21\u578b\uff0c\u800c\u8fd9\u4e9b API \u4e0e Keras \u63d0\u4f9b\u7684\u5341\u5206\u76f8\u4f3c\uff0c\u4f7f\u7528\u8fc7\u7684\u5f00\u53d1\u8005\u5e94\u8be5\u53ef\u4ee5\u5f88\u5feb\u4e0a\u624b\u3002\n<\/p>\n

\n\tTensorFlow.js \u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/js.tensorflow.org\/<\/a>\u3002\n<\/p>\n

\n\tTensorFlow.js \u7684\u6838\u5fc3\u6982\u5ff5
\n<\/h2>\n

\n\tTensorFlow.js \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u7528\u4e8e\u5f00\u53d1\u673a\u5668\u5b66\u4e60\u9879\u76ee\u7684 WebGL-accelerated Java \u5e93\u3002TensorFlow.js \u53ef\u4ee5\u4e3a\u4f60\u63d0\u4f9b\u9ad8\u6027\u80fd\u7684\u3001\u6613\u4e8e\u4f7f\u7528\u7684\u673a\u5668\u5b66\u4e60\u6784\u5efa\u6a21\u5757\uff0c\u5141\u8bb8\u4f60\u5728\u6d4f\u89c8\u5668\u4e0a\u8bad\u7ec3\u6a21\u578b\uff0c\u6216\u4ee5\u63a8\u65ad\u6a21\u5f0f\u8fd0\u884c\u9884\u8bad\u7ec3\u7684\u6a21\u578b\u3002TensorFlow.js \u4e0d\u4ec5\u53ef\u4ee5\u63d0\u4f9b\u4f4e\u7ea7\u7684\u673a\u5668\u5b66\u4e60\u6784\u5efa\u6a21\u5757\uff0c\u8fd8\u53ef\u4ee5\u63d0\u4f9b\u9ad8\u7ea7\u7684\u7c7b\u4f3c Keras \u7684 API \u6765\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u3002\n<\/p>\n

\n\tTensorFlow.js \u7684\u5b89\u88c5\u975e\u5e38\u7b80\u5355\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 NMP \u6216\u811a\u672c\u5b8c\u6210\u6784\u5efa\u3002\u5b83\u7684\u4f7f\u7528\u4e5f\u6709\u975e\u5e38\u591a\u7684\u6587\u6863\u4e0e\u6559\u7a0b\uff0c\u6211\u4eec\u53ea\u9700\u8981\u638c\u63e1\u4e00\u4e9b\u57fa\u672c\u7684\u6838\u5fc3\u6982\u5ff5\u5c31\u80fd\u5feb\u901f\u5165\u624b\u8fd9\u4e00 JS \u5e93\u3002\n<\/p>\n

\n\tTensorFlow.js \u4e2d\u7684\u4e2d\u5fc3\u6570\u636e\u5355\u5143\u662f\u5f20\u91cf\uff08tensor\uff09\uff1a\u4e00\u7ef4\u6216\u591a\u7ef4\u6570\u7ec4\u3002\u4e00\u4e2a Tensor \u5b9e\u4f8b\u7684 shape \u5c5e\u6027\u5b9a\u4e49\u4e86\u5176\u6570\u7ec4\u5f62\u72b6\uff08\u5373\uff0c\u6570\u7ec4\u7684\u6bcf\u4e2a\u7ef4\u5ea6\u4e0a\u6709\u591a\u5c11\u4e2a\u503c\uff09\u3002\n<\/p>\n

\n\tTensor \u4e3b\u8981\u6784\u9020\u51fd\u6570\u662f tf.tensor \u51fd\u6570\uff1a\n<\/p>\n

\r\nconstshape = [ 2, 3]; \/\/ 2 rows, 3 columns\r\nconsta = tf.tensor([ 1.0, 2.0, 3.0, 10.0, 20.0, 30.0], shape);\r\na.print(); \/\/ print Tensor values\r\nconstb = tf.tensor([[ 1.0, 2.0, 3.0], [ 10.0, 20.0, 30.0]]);\r\nb.print();<\/pre>\n
\n\tVariable \u4f7f\u7528\u4e00\u4e2a\u5f20\u91cf\u503c\u6765\u521d\u59cb\u5316\u3002\u7136\u800c\uff0c\u548c Tensor \u4e0d\u4e00\u6837\uff0c\u5b83\u4eec\u7684\u503c\u662f\u53ef\u53d8\u7684\u3002\u4f60\u53ef\u4ee5\u7528 assign \u65b9\u6cd5\u5206\u914d\u4e00\u4e2a\u65b0\u7684\u5f20\u91cf\u5230\u4e00\u4e2a\u5df2\u6709\u7684\u53d8\u91cf\uff08variable\uff09\uff1a\n<\/p>\n
\r\nconstinitialValues = tf.zeros([ 5]);\r\nconstbiases = tf.variable(initialValues); \/\/ initialize biases\r\nbiases.print(); \/\/ output: [0, 0, 0, 0, 0]\r\nconstupdatedValues = tf.tensor1d([ 0, 1, 0, 1, 0]);\r\nbiases.assign(updatedValues); \/\/ update values of biases\r\nbiases.print(); \/\/ output: [0, 1, 0, 1, 0]<\/pre>\n
\n\tVariable \u4e3b\u8981\u7528\u4e8e\u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4fdd\u5b58\u548c\u66f4\u65b0\u503c\u3002\n<\/p>\n
\n\ttensorflow\/tfjs
\n<\/h2>\n
\n\ttensorFlow.js \u662f\u4e00\u4e2a\u5f00\u6e90\u786c\u4ef6\u52a0\u901f\u7684JavaScript\u5e93 \u57f9\u8bad\u548c\u90e8\u7f72\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\n<\/p>\n
\n\t\u5728\u6d4f\u89c8\u5668\u5f00\u53d1\u6beb\u5347\uff1a\u4f7f\u7528\u7075\u6d3b\u3001\u76f4\u89c2\u7684api\u4f7f\u7528\u4f4e\u7ea7\u4ece\u5934\u6784\u5efa\u6a21\u578b \u7ebf\u6027\u4ee3\u6570\u7684 JavaScript \u5e93\u6216\u9ad8\u7ea7\u5c42 API\u3002\n<\/p>\n
\n\t\u8fd0\u884c\u73b0\u6709\u7684\u6a21\u578b\uff1a\u4f7f\u7528 tensorFlow.js \u6a21\u578b\u8f6c\u6362\u5668\u8fd0\u884c\u65e2\u5b58 TensorFlow \u6a21\u578b\u6b63\u786e \u5728\u6d4f\u89c8\u5668\u4e2d\u3002\n<\/p>\n
\n\t\u57f9\u8bad\u73b0\u6709\u7684\u6a21\u578b\uff1a\u518d\u57f9\u8bad\u7684ML\u6a21\u578b\u4f7f\u7528\u4f20\u611f\u5668\u6570\u636e\u8fde\u63a5\u5230\u6d4f\u89c8\u5668,\u6216 \u5176\u4ed6\u5ba2\u6237\u7aef\u6570\u636e\u3002\n<\/p>\n
\n\t\u57fa\u672c\u7528\u6cd5
\n<\/h2>\n
\n\t\u4f7f\u7528 tensorFlow.js \u53ef\u4ee5\u5728 web \u9875\u9762\u4e2d\u5f15\u5165 tensorFlow.js \u7c7b\u5e93\u3002\n<\/p>\n
\r\n<script src="https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow\/tfjs@latest"><\/script>\r\n<!-- or -->\r\n<script src="https:\/\/unpkg.com\/@tensorflow\/tfjs@latest"><\/script><\/pre>\n
\n\t\u4e5f\u53ef\u4ee5\u901a\u8fc7 yarn \u8fdb\u884c\u5b89\u88c5\uff1a\n<\/p>\n
\r\nyarn add @tensorflow\/tfjs<\/pre>\n
\n\t\u6216\u8005\u4f7f\u7528 npm \u8fdb\u884c\u5b89\u88c5\uff1a\n<\/p>\n
\r\nnpm install @tensorflow\/tfjs<\/pre>\n
\n\t\u4e0b\u9762\u770b\u4e00\u4e2a\u4f8b\u5b50\uff1a\n<\/p>\n
\r\nimport * as tf from '@tensorflow\/tfjs';\r\nconst a = tf.tensor1d([1, 2, 3]);\r\nconst b = tf.scalar(2);\r\nconst result = a.add(b); \r\nresult.data().then(data => console.log(data));\r\n\/\/ \u4e1a\u4f59\u8349\uff1awww.xttblog.com\r\nconsole.log(result.dataSync()); <\/pre>\n
\r\nimport * as tf from '@tensorflow\/tfjs';\r\nconst model = tf.sequential();\r\nmodel.add(tf.layers.dense({units: 1, inputShape: [1]}));\r\nmodel.compile({loss: 'meanSquaredError', optimizer: 'sgd'});\r\nconst xs = tf.tensor2d([[1], [2], [3], [4]], [4, 1]);\r\nconst ys = tf.tensor2d([[1], [3], [5], [7]], [4, 1]);\r\nawait model.fit(xs, ys, {epochs: 500});\r\n\/\/ \u4e1a\u4f59\u8349\uff1awww.xttblog.com\r\nconst output = model.predict(tf.tensor2d([[5]], [1, 1]));\r\noutput.print();<\/pre>\n
\n\t\u66f4\u591a\u4f8b\u5b50\u548c\u8d44\u6599\uff0c\u8bf7\u79fb\u52a8\u5230\u5b98\u7f51\u8fdb\u884c\u5b66\u4e60\uff01<\/p>\n
\"\u4e1a\u4f59\u8349\u516c\u4f17\u53f7\"\/<\/p>
\u6700\u540e\uff0c\u6b22\u8fce\u5173\u6ce8\u6211\u7684\u4e2a\u4eba\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a\u4e1a\u4f59\u8349\uff08yyucao\uff09\uff01\u53ef\u52a0\u4f5c\u8005\u5fae\u4fe1\u53f7\uff1axttblog2<\/font>\u3002\u5907\u6ce8\uff1a\u201c1\u201d\uff0c\u6dfb\u52a0\u535a\u4e3b\u5fae\u4fe1\u62c9\u4f60\u8fdb\u5fae\u4fe1\u7fa4\u3002\u5907\u6ce8\u9519\u8bef\u4e0d\u4f1a\u540c\u610f\u597d\u53cb\u7533\u8bf7\u3002<\/b>\u518d\u6b21\u611f\u8c22\u60a8\u7684\u5173\u6ce8\uff01\u540e\u7eed\u6709\u7cbe\u5f69\u5185\u5bb9\u4f1a\u7b2c\u4e00\u65f6\u95f4\u53d1\u7ed9\u60a8\uff01\u539f\u521b\u6587\u7ae0\u6295\u7a3f\u8bf7\u53d1\u9001\u81f3532009913@qq.com\u90ae\u7bb1\u3002\u5546\u52a1\u5408\u4f5c\u4e5f\u53ef\u6dfb\u52a0\u4f5c\u8005\u5fae\u4fe1\u8fdb\u884c\u8054\u7cfb\uff01<\/p>
\u672c\u6587\u539f\u6587\u51fa\u5904\uff1a\u4e1a\u4f59\u8349<\/a>\uff1a » TensorFlow.js \u6559\u7a0b<\/a><\/p>","protected":false},"excerpt":{"rendered":"
tfjs \u662f TensorFlow \u63a8\u51fa\u7684\u4e00\u6b3e web \u7aef\u7684\u6df1\u5ea6\u5b66\u4e60\u7c7b\u5e93\u3002TensorFlow.js […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[1106,337,1552,739,1598],"class_list":["post-2611","post","type-post","status-publish","format-standard","hentry","category-html5","tag-javascript","tag-javascriptapi","tag-webgl","tag-739","tag-1598"],"_links":{"self":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/2611","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2611"}],"version-history":[{"count":1,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/2611\/revisions"}],"predecessor-version":[{"id":2612,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/2611\/revisions\/2612"}],"wp:attachment":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}