{"id":88625,"date":"2024-12-17T10:17:42","date_gmt":"2024-12-17T06:47:42","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/"},"modified":"2024-12-17T10:17:42","modified_gmt":"2024-12-17T06:47:42","slug":"exploring-ml-models-with-tensorflowjs-for-browser-applications-l67","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/","title":{"rendered":"\u06a9\u0627\u0648\u0634 \u0645\u062f\u0644 \u0647\u0627\u06cc ML \u0628\u0627 TensorFlow.js \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0631\u0648\u0631\u06af\u0631 \ud83d\ude80"},"content":{"rendered":"<p>Summarize this content to 400 words in Persian Lang<br \/>\n              \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc (ML) \u062f\u06cc\u06af\u0631 \u0645\u062d\u062f\u0648\u062f \u0628\u0647 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\u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f:<\/p>\n<p>\u0628\u062f\u0648\u0646 Backend \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a &#8211; \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u062a\u0639\u0627\u0645\u0644 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc &#8211; \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062d\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0627\u0632\u062e\u0648\u0631\u062f \u0641\u0648\u0631\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0628\u06cc\u0646 \u067e\u0644\u062a\u0641\u0631\u0645 &#8211; \u0631\u0648\u06cc \u0647\u0631 \u062f\u0633\u062a\u06af\u0627\u0647\u06cc \u0628\u0627 \u0645\u0631\u0648\u0631\u06af\u0631 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u0647\u0631\u0645 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u2013 \u0627\u0632 WebGL \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>  \u0634\u0631\u0648\u0639 \ud83c\udf10<\/p>\n<p>  \u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow.js\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 CDN \u06cc\u0627 npm \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<p>CDN:<\/p>\n<p>src=]]>&#8221;https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow\/tfjs&#8221;&gt;<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>npm:<\/p>\n<p>npm install @tensorflow\/tfjs<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>  \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u067e\u0627\u06cc\u0647<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0645\u0631\u0648\u0631\u06af\u0631 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 ML \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 TensorFlow.js.<br \/>\n\u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06cc\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.<br \/>\n\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0646\u06cc\u062f.<br \/>\n\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u062f<\/p>\n<p>  \u0633\u0627\u062e\u062a\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062f\u0644 \u0634\u0645\u0627 \ud83d\udca1<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 y \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 x \u0648\u0631\u0648\u062f\u06cc \u0647\u0627<\/p>\n<p>\/\/ Import TensorFlow.js<br \/>\nimport * as tf from &#8216;@tensorflow\/tfjs&#8217;;<\/p>\n<p>\/\/ Step 1: Create a Sequential Model<br \/>\nconst model = tf.sequential();<\/p>\n<p>\/\/ Step 2: Add a Dense Layer<br \/>\nmodel.add(tf.layers.dense({ units: 1, inputShape: [1] }));<\/p>\n<p>\/\/ Step 3: Compile the Model<br \/>\nmodel.compile({<br \/>\n  optimizer: &#8216;sgd&#8217;,<br \/>\n  loss: &#8216;meanSquaredError&#8217;<br \/>\n});<\/p>\n<p>\/\/ Step 4: Prepare Training Data<br \/>\nconst xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);<br \/>\nconst ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);<\/p>\n<p>\/\/ Step 5: Train the Model<br \/>\nmodel.fit(xs, ys, { epochs: 500 }).then(() =&gt; {<br \/>\n  \/\/ Step 6: Make Predictions<br \/>\n  model.predict(tf.tensor2d([5], [1, 1])).print(); \/\/ Should print ~9<br \/>\n});<\/p>\n<p>    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\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 (MSE).<\/p>\n<p>  \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \ud83c\udfa8<\/p>\n<p>TensorFlow.js \u0627\u0632 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u062f\u0644 MobileNet \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<p>import * as tf from &#8216;@tensorflow\/tfjs&#8217;;<br \/>\nimport * as mobilenet from &#8216;@tensorflow-models\/mobilenet&#8217;;<\/p>\n<p>const img = document.getElementById(&#8216;image&#8217;);<\/p>\n<p>mobilenet.load().then(model =&gt; {<br \/>\n  model.classify(img).then(predictions =&gt; {<br \/>\n    console.log(&#8216;Predictions:&#8217;, predictions);<br \/>\n  });<br \/>\n});<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>  \u0645\u062b\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/p>\n<p>\u0648\u0631\u0648\u062f\u06cc: \u0639\u0646\u0635\u0631 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 HTML<\/p>\n<p>\u062e\u0631\u0648\u062c\u06cc: \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c &#8220;\u06af\u0631\u0628\u0647&#8221;\u060c &#8220;\u0633\u06af&#8221;).<\/p>\n<p>  \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \ud83c\udf10<\/p>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc: \u0627\u0632 TensorFlow.js \u0628\u0627 \u0648\u0628 \u06a9\u0645 \u062e\u0648\u062f \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0627\u0634\u06cc\u0627 \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062a\u0639\u0627\u0645\u0644\u06cc: \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0631\u06cc\u0627\u0636\u06cc \u06cc\u0627 \u0641\u06cc\u0632\u06cc\u06a9 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0627\u0632\u06cc \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc: \u0631\u0641\u062a\u0627\u0631\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 ML \u0631\u0627 \u0628\u0647 \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u062f\u0631\u0648\u0646 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>  \u0646\u06a9\u0627\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \ud83d\udca1<\/p>\n<p>\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0647\u0627: \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0633\u0631\u06cc\u0639\u062a\u0631 \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>GPU \u0627\u0647\u0631\u0645\u06cc: \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u06cc\u062f \u06a9\u0647 WebGL \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u06cc \u0641\u0639\u0627\u0644 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062a\u0646\u0628\u0644: \u0645\u062f\u0644 \u0647\u0627 \u0631\u0627 \u0641\u0642\u0637 \u062f\u0631 \u0635\u0648\u0631\u062a \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0635\u0631\u0641\u0647 \u062c\u0648\u06cc\u06cc \u062f\u0631 \u0645\u0646\u0627\u0628\u0639 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<p>  \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u0646\u0627\u0628\u0639 \u0645\u062d\u0628\u0648\u0628 \ud83d\udcc8<\/p>\n<p>  \u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc \ud83c\udfc6<\/p>\n<p>TensorFlow.js \u0628\u0647 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u0646\u062f. \u0686\u0647 \u062f\u0631 \u062d\u0627\u0644 \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0628\u0627\u0632\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06cc\u0627 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0627\u0634\u06cc\u062f\u060c \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u0628\u06cc \u067e\u0627\u06cc\u0627\u0646 \u0647\u0633\u062a\u0646\u062f. \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0627\u0632 \u0627\u0645\u0631\u0648\u0632 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f \u0648 \u062e\u0644\u0627\u0642\u06cc\u062a \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u062c\u0627\u0645\u0639\u0647 \u0628\u0647 \u0627\u0634\u062a\u0631\u0627\u06a9 \u0628\u06af\u0630\u0627\u0631\u06cc\u062f!<\/p>\n<p>\u0633\u0648\u0627\u0644 \u06cc\u0627 \u0627\u06cc\u062f\u0647 \u0627\u06cc \u062f\u0627\u0631\u06cc\u062f\u061f \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631\u0627\u062a \u0632\u06cc\u0631 \u0631\u0647\u0627 \u06a9\u0646\u06cc\u062f! \ud83d\udd27<\/p>\n<div data-article-id=\"2160386\" id=\"article-body\">\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc (ML) \u062f\u06cc\u06af\u0631 \u0645\u062d\u062f\u0648\u062f \u0628\u0647 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 \u06cc\u0627 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0628\u0627 \u0645\u0646\u0627\u0628\u0639 \u0633\u0646\u06af\u06cc\u0646 \u0646\u06cc\u0633\u062a. \u0628\u0647 \u0644\u0637\u0641 TensorFlow.js\u060c \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0642\u062f\u0631\u062a ML \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0645\u0631\u0648\u0631\u06af\u0631 \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f. \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646\u200c\u0647\u0627\u06cc \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u0628\u06cc\u200c\u062f\u0631\u0646\u06af \u0648 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 \u0628\u0627\u0632 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u06cc\u0631\u062c\u0647 \u0628\u0632\u0646\u06cc\u0645!<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter-rtl ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u062a\u063a\u06cc\u06cc\u0631 \u0648\u0636\u0639\u06cc\u062a \u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span 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href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%DA%86%D8%B1%D8%A7_TensorFlowjs%D8%9F_%F0%9F%A4%96\" >\u0686\u0631\u0627 TensorFlow.js\u061f \ud83e\udd16<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D8%B4%D8%B1%D9%88%D8%B9_%F0%9F%8C%90\" >\u0634\u0631\u0648\u0639 \ud83c\udf10<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D9%86%D8%B5%D8%A8_%D9%88_%D8%B1%D8%A7%D9%87_%D8%A7%D9%86%D8%AF%D8%A7%D8%B2%DB%8C\" >\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%DA%AF%D8%B1%D8%AF%D8%B4_%DA%A9%D8%A7%D8%B1_%D9%BE%D8%A7%DB%8C%D9%87\" >\u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u067e\u0627\u06cc\u0647<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D8%B3%D8%A7%D8%AE%D8%AA%D9%86_%D8%A7%D9%88%D9%84%DB%8C%D9%86_%D9%85%D8%AF%D9%84_%D8%B4%D9%85%D8%A7_%F0%9F%92%A1\" >\u0633\u0627\u062e\u062a\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062f\u0644 \u0634\u0645\u0627 \ud83d\udca1<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D8%AA%D9%88%D8%B6%DB%8C%D8%AD\" >\u062a\u0648\u0636\u06cc\u062d<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D8%A8%D8%A7%D8%B1%DA%AF%DB%8C%D8%B1%DB%8C_%D9%85%D8%AF%D9%84_%D9%87%D8%A7%DB%8C_%D8%A7%D8%B2_%D9%BE%DB%8C%D8%B4_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%AF%DB%8C%D8%AF%D9%87_%F0%9F%8E%A8\" >\u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \ud83c\udfa8<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D9%85%D8%AB%D8%A7%D9%84_%D8%A7%D8%B3%D8%AA%D9%81%D8%A7%D8%AF%D9%87\" >\u0645\u062b\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D8%A8%D8%B1%D9%86%D8%A7%D9%85%D9%87_%D9%87%D8%A7%DB%8C_%DA%A9%D8%A7%D8%B1%D8%A8%D8%B1%D8%AF%DB%8C_%D8%AF%D8%B1_%D8%AF%D9%86%DB%8C%D8%A7%DB%8C_%D9%88%D8%A7%D9%82%D8%B9%DB%8C_%F0%9F%8C%90\" >\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \ud83c\udf10<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D9%86%DA%A9%D8%A7%D8%AA_%D8%B9%D9%85%D9%84%DA%A9%D8%B1%D8%AF_%F0%9F%92%A1\" >\u0646\u06a9\u0627\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \ud83d\udca1<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7_%D9%88_%D9%85%D9%86%D8%A7%D8%A8%D8%B9_%D9%85%D8%AD%D8%A8%D9%88%D8%A8_%F0%9F%93%88\" >\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u0646\u0627\u0628\u0639 \u0645\u062d\u0628\u0648\u0628 \ud83d\udcc8<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/nabfollower.com\/blog\/exploring-ml-models-with-tensorflowjs-for-browser-applications-l67\/#%D9%86%D8%AA%DB%8C%D8%AC%D9%87_%DA%AF%DB%8C%D8%B1%DB%8C_%F0%9F%8F%86\" >\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc \ud83c\udfc6<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%DA%86%D8%B1%D8%A7_TensorFlowjs%D8%9F_%F0%9F%A4%96\"><\/span>\n<p>  \u0686\u0631\u0627 TensorFlow.js\u061f \ud83e\udd16<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>TensorFlow.js \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc ML \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062c\u0627\u0648\u0627 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0633\u0627\u0632\u06cc\u062f\u060c \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f \u0648 \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0645\u0633\u062a\u0642\u0631 \u06a9\u0646\u06cc\u062f. \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u062f\u0644\u06cc\u0644\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f:<\/p>\n<ul>\n<li>\n<strong>\u0628\u062f\u0648\u0646 Backend \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a<\/strong> &#8211; \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\n<strong>\u062a\u0639\u0627\u0645\u0644 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc<\/strong> &#8211; \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062d\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0627\u0632\u062e\u0648\u0631\u062f \u0641\u0648\u0631\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\n<strong>\u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0628\u06cc\u0646 \u067e\u0644\u062a\u0641\u0631\u0645<\/strong> &#8211; \u0631\u0648\u06cc \u0647\u0631 \u062f\u0633\u062a\u06af\u0627\u0647\u06cc \u0628\u0627 \u0645\u0631\u0648\u0631\u06af\u0631 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<li>\n<strong>\u0627\u0647\u0631\u0645 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631<\/strong> \u2013 \u0627\u0632 WebGL \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%D8%B4%D8%B1%D9%88%D8%B9_%F0%9F%8C%90\"><\/span>\n<p>  \u0634\u0631\u0648\u0639 \ud83c\udf10<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%D9%86%D8%B5%D8%A8_%D9%88_%D8%B1%D8%A7%D9%87_%D8%A7%D9%86%D8%AF%D8%A7%D8%B2%DB%8C\"><\/span>\n<p>  \u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow.js\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 CDN \u06cc\u0627 npm \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<p><strong>CDN:<\/strong><\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight html\"><code><span class=\"nt\"><script><![CDATA[<span class=\"na\">src=]]><\/script><\/span><span class=\"s\">\"https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow\/tfjs\"<\/span><span class=\"nt\">&gt;<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><strong>npm:<\/strong><\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight shell\"><code>npm <span class=\"nb\">install<\/span> @tensorflow\/tfjs\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%DA%AF%D8%B1%D8%AF%D8%B4_%DA%A9%D8%A7%D8%B1_%D9%BE%D8%A7%DB%8C%D9%87\"><\/span>\n<p>  \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u067e\u0627\u06cc\u0647<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0645\u0631\u0648\u0631\u06af\u0631 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 ML \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ol>\n<li>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 TensorFlow.js.<\/li>\n<li>\u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06cc\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u062f<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%D8%B3%D8%A7%D8%AE%D8%AA%D9%86_%D8%A7%D9%88%D9%84%DB%8C%D9%86_%D9%85%D8%AF%D9%84_%D8%B4%D9%85%D8%A7_%F0%9F%92%A1\"><\/span>\n<p>  \u0633\u0627\u062e\u062a\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062f\u0644 \u0634\u0645\u0627 \ud83d\udca1<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 <strong>y<\/strong> \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 <strong>x<\/strong> \u0648\u0631\u0648\u062f\u06cc \u0647\u0627<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight javascript\"><code><span class=\"c1\">\/\/ Import TensorFlow.js<\/span>\n<span class=\"k\">import<\/span> <span class=\"o\">*<\/span> <span class=\"k\">as<\/span> <span class=\"nx\">tf<\/span> <span class=\"k\">from<\/span> <span class=\"dl\">'<\/span><span class=\"s1\">@tensorflow\/tfjs<\/span><span class=\"dl\">'<\/span><span class=\"p\">;<\/span>\n\n<span class=\"c1\">\/\/ Step 1: Create a Sequential Model<\/span>\n<span class=\"kd\">const<\/span> <span class=\"nx\">model<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">tf<\/span><span class=\"p\">.<\/span><span class=\"nf\">sequential<\/span><span class=\"p\">();<\/span>\n\n<span class=\"c1\">\/\/ Step 2: Add a Dense Layer<\/span>\n<span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">add<\/span><span class=\"p\">(<\/span><span class=\"nx\">tf<\/span><span class=\"p\">.<\/span><span class=\"nx\">layers<\/span><span class=\"p\">.<\/span><span class=\"nf\">dense<\/span><span class=\"p\">({<\/span> <span class=\"na\">units<\/span><span class=\"p\">:<\/span> <span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"na\">inputShape<\/span><span class=\"p\">:<\/span> <span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">]<\/span> <span class=\"p\">}));<\/span>\n\n<span class=\"c1\">\/\/ Step 3: Compile the Model<\/span>\n<span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">compile<\/span><span class=\"p\">({<\/span>\n  <span class=\"na\">optimizer<\/span><span class=\"p\">:<\/span> <span class=\"dl\">'<\/span><span class=\"s1\">sgd<\/span><span class=\"dl\">'<\/span><span class=\"p\">,<\/span>\n  <span class=\"na\">loss<\/span><span class=\"p\">:<\/span> <span class=\"dl\">'<\/span><span class=\"s1\">meanSquaredError<\/span><span class=\"dl\">'<\/span>\n<span class=\"p\">});<\/span>\n\n<span class=\"c1\">\/\/ Step 4: Prepare Training Data<\/span>\n<span class=\"kd\">const<\/span> <span class=\"nx\">xs<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">tf<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor2d<\/span><span class=\"p\">([<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">1<\/span><span class=\"p\">]);<\/span>\n<span class=\"kd\">const<\/span> <span class=\"nx\">ys<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">tf<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor2d<\/span><span class=\"p\">([<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"mi\">7<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">1<\/span><span class=\"p\">]);<\/span>\n\n<span class=\"c1\">\/\/ Step 5: Train the Model<\/span>\n<span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">fit<\/span><span class=\"p\">(<\/span><span class=\"nx\">xs<\/span><span class=\"p\">,<\/span> <span class=\"nx\">ys<\/span><span class=\"p\">,<\/span> <span class=\"p\">{<\/span> <span class=\"na\">epochs<\/span><span class=\"p\">:<\/span> <span class=\"mi\">500<\/span> <span class=\"p\">}).<\/span><span class=\"nf\">then<\/span><span class=\"p\">(()<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n  <span class=\"c1\">\/\/ Step 6: Make Predictions<\/span>\n  <span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">predict<\/span><span class=\"p\">(<\/span><span class=\"nx\">tf<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor2d<\/span><span class=\"p\">([<\/span><span class=\"mi\">5<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">1<\/span><span class=\"p\">])).<\/span><span class=\"nf\">print<\/span><span class=\"p\">();<\/span> <span class=\"c1\">\/\/ Should print ~9<\/span>\n<span class=\"p\">});<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D8%AA%D9%88%D8%B6%DB%8C%D8%AD\"><\/span>\n<p>  \u062a\u0648\u0636\u06cc\u062d<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\n<strong>\u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc:<\/strong> \u067e\u0634\u062a\u0647 \u062e\u0637\u06cc \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0647\u0627.<\/li>\n<li>\n<strong>\u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645:<\/strong> \u0644\u0627\u06cc\u0647 \u06a9\u0627\u0645\u0644\u0627 \u0645\u062a\u0635\u0644 \u0628\u0627 \u06cc\u06a9 \u0648\u0627\u062d\u062f.<\/li>\n<li>\n<strong>\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632:<\/strong> \u0646\u0632\u0648\u0644 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc (SGD).<\/li>\n<li>\n<strong>\u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646:<\/strong> \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 (MSE).<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%D8%A8%D8%A7%D8%B1%DA%AF%DB%8C%D8%B1%DB%8C_%D9%85%D8%AF%D9%84_%D9%87%D8%A7%DB%8C_%D8%A7%D8%B2_%D9%BE%DB%8C%D8%B4_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%AF%DB%8C%D8%AF%D9%87_%F0%9F%8E%A8\"><\/span>\n<p>  \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \ud83c\udfa8<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>TensorFlow.js \u0627\u0632 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u062f\u0644 MobileNet \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight javascript\"><code><span class=\"k\">import<\/span> <span class=\"o\">*<\/span> <span class=\"k\">as<\/span> <span class=\"nx\">tf<\/span> <span class=\"k\">from<\/span> <span class=\"dl\">'<\/span><span class=\"s1\">@tensorflow\/tfjs<\/span><span class=\"dl\">'<\/span><span class=\"p\">;<\/span>\n<span class=\"k\">import<\/span> <span class=\"o\">*<\/span> <span class=\"k\">as<\/span> <span class=\"nx\">mobilenet<\/span> <span class=\"k\">from<\/span> <span class=\"dl\">'<\/span><span class=\"s1\">@tensorflow-models\/mobilenet<\/span><span class=\"dl\">'<\/span><span class=\"p\">;<\/span>\n\n<span class=\"kd\">const<\/span> <span class=\"nx\">img<\/span> <span class=\"o\">=<\/span> <span class=\"nb\">document<\/span><span class=\"p\">.<\/span><span class=\"nf\">getElementById<\/span><span class=\"p\">(<\/span><span class=\"dl\">'<\/span><span class=\"s1\">image<\/span><span class=\"dl\">'<\/span><span class=\"p\">);<\/span>\n\n<span class=\"nx\">mobilenet<\/span><span class=\"p\">.<\/span><span class=\"nf\">load<\/span><span class=\"p\">().<\/span><span class=\"nf\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">model<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n  <span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">classify<\/span><span class=\"p\">(<\/span><span class=\"nx\">img<\/span><span class=\"p\">).<\/span><span class=\"nf\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">predictions<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n    <span class=\"nx\">console<\/span><span class=\"p\">.<\/span><span class=\"nf\">log<\/span><span class=\"p\">(<\/span><span class=\"dl\">'<\/span><span class=\"s1\">Predictions:<\/span><span class=\"dl\">'<\/span><span class=\"p\">,<\/span> <span class=\"nx\">predictions<\/span><span class=\"p\">);<\/span>\n  <span class=\"p\">});<\/span>\n<span class=\"p\">});<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%AB%D8%A7%D9%84_%D8%A7%D8%B3%D8%AA%D9%81%D8%A7%D8%AF%D9%87\"><\/span>\n<p>  \u0645\u062b\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\n<strong>\u0648\u0631\u0648\u062f\u06cc:<\/strong> \u0639\u0646\u0635\u0631 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 HTML<\/li>\n<li>\n<strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong> \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c &#8220;\u06af\u0631\u0628\u0647&#8221;\u060c &#8220;\u0633\u06af&#8221;).<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%D8%A8%D8%B1%D9%86%D8%A7%D9%85%D9%87_%D9%87%D8%A7%DB%8C_%DA%A9%D8%A7%D8%B1%D8%A8%D8%B1%D8%AF%DB%8C_%D8%AF%D8%B1_%D8%AF%D9%86%DB%8C%D8%A7%DB%8C_%D9%88%D8%A7%D9%82%D8%B9%DB%8C_%F0%9F%8C%90\"><\/span>\n<p>  \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \ud83c\udf10<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>\u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc:<\/strong> \u0627\u0632 TensorFlow.js \u0628\u0627 \u0648\u0628 \u06a9\u0645 \u062e\u0648\u062f \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0627\u0634\u06cc\u0627 \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\n<strong>\u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062a\u0639\u0627\u0645\u0644\u06cc:<\/strong> \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0631\u06cc\u0627\u0636\u06cc \u06cc\u0627 \u0641\u06cc\u0632\u06cc\u06a9 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\n<strong>\u0628\u0627\u0632\u06cc \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc:<\/strong> \u0631\u0641\u062a\u0627\u0631\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 ML \u0631\u0627 \u0628\u0647 \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u062f\u0631\u0648\u0646 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%D9%86%DA%A9%D8%A7%D8%AA_%D8%B9%D9%85%D9%84%DA%A9%D8%B1%D8%AF_%F0%9F%92%A1\"><\/span>\n<p>  \u0646\u06a9\u0627\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \ud83d\udca1<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0647\u0627:<\/strong> \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0633\u0631\u06cc\u0639\u062a\u0631 \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\n<strong>GPU \u0627\u0647\u0631\u0645\u06cc:<\/strong> \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u06cc\u062f \u06a9\u0647 WebGL \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u06cc \u0641\u0639\u0627\u0644 \u0627\u0633\u062a.<\/li>\n<li>\n<strong>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062a\u0646\u0628\u0644:<\/strong> \u0645\u062f\u0644 \u0647\u0627 \u0631\u0627 \u0641\u0642\u0637 \u062f\u0631 \u0635\u0648\u0631\u062a \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0635\u0631\u0641\u0647 \u062c\u0648\u06cc\u06cc \u062f\u0631 \u0645\u0646\u0627\u0628\u0639 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06a9\u0646\u06cc\u062f.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7_%D9%88_%D9%85%D9%86%D8%A7%D8%A8%D8%B9_%D9%85%D8%AD%D8%A8%D9%88%D8%A8_%F0%9F%93%88\"><\/span>\n<p>  \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u0646\u0627\u0628\u0639 \u0645\u062d\u0628\u0648\u0628 \ud83d\udcc8<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h2><span class=\"ez-toc-section\" id=\"%D9%86%D8%AA%DB%8C%D8%AC%D9%87_%DA%AF%DB%8C%D8%B1%DB%8C_%F0%9F%8F%86\"><\/span>\n<p>  \u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc \ud83c\udfc6<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>TensorFlow.js \u0628\u0647 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u0646\u062f. \u0686\u0647 \u062f\u0631 \u062d\u0627\u0644 \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0628\u0627\u0632\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06cc\u0627 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0627\u0634\u06cc\u062f\u060c \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u0628\u06cc \u067e\u0627\u06cc\u0627\u0646 \u0647\u0633\u062a\u0646\u062f. \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0627\u0632 \u0627\u0645\u0631\u0648\u0632 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f \u0648 \u062e\u0644\u0627\u0642\u06cc\u062a \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u062c\u0627\u0645\u0639\u0647 \u0628\u0647 \u0627\u0634\u062a\u0631\u0627\u06a9 \u0628\u06af\u0630\u0627\u0631\u06cc\u062f!<\/p>\n<p>\u0633\u0648\u0627\u0644 \u06cc\u0627 \u0627\u06cc\u062f\u0647 \u0627\u06cc \u062f\u0627\u0631\u06cc\u062f\u061f \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631\u0627\u062a \u0632\u06cc\u0631 \u0631\u0647\u0627 \u06a9\u0646\u06cc\u062f! \ud83d\udd27<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Summarize this content to 400 words in Persian Lang \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc (ML) \u062f\u06cc\u06af\u0631 \u0645\u062d\u062f\u0648\u062f \u0628\u0647 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 \u06cc\u0627 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0628\u0627 \u0645\u0646\u0627\u0628\u0639 \u0633\u0646\u06af\u06cc\u0646 \u0646\u06cc\u0633\u062a. \u0628\u0647 \u0644\u0637\u0641 TensorFlow.js\u060c \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0642\u062f\u0631\u062a ML \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0645\u0631\u0648\u0631\u06af\u0631 \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f. \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646\u200c\u0647\u0627\u06cc \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627\u06cc \u062a\u0639\u0627\u0645\u0644\u06cc \u0628\u06cc\u200c\u062f\u0631\u0646\u06af \u0648 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 \u0628\u0627\u0632 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u06cc\u0631\u062c\u0647 \u0628\u0632\u0646\u06cc\u0645! \u0686\u0631\u0627 &hellip;<\/p>\n","protected":false},"author":2,"featured_media":88626,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-88625","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/88625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=88625"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/88625\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/88626"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=88625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=88625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=88625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}