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+ # Tensorflow with MobileNet
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+
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+ - [ tfjs] ( https://github.com/tensorflow/tfjs )
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+ - [ MobileNet] ( https://github.com/tensorflow/tfjs-models/tree/master/mobilenet )
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+ <!DOCTYPE html>
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+ < html >
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+ < head >
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+ < meta charset ="utf-8 " />
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+ < title > MobileNet Introduction</ title >
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+ <!-- Import tensorflow dependencies -->
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+ < script
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+ src ="https://unpkg.com/@tensorflow/tfjs "
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+ type ="text/javascript "
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+ > </ script >
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+ < script
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+ src ="https://unpkg.com/@tensorflow-models/mobilenet "
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+ type ="text/javascript "
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+ > </ script >
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+ </ head >
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+ < body >
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+ < h1 > MobileNet with TensorFlow.js</ h1 >
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+ < h2 id ="message "> Detecting image…</ h2 >
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+ < img
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+ id ="image "
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+ crossorigin
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+ src ="https://images.unsplash.com/photo-1473496169904-658ba7c44d8a?ixlib=rb-1.2.1&auto=format&fit=crop&w=1950&q=80 "
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+ />
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+ < script >
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+ // Step 1: Load the model
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+ mobilenet . load ( ) . then ( ( net ) => {
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+ const targetImage = document . getElementById ( 'image' ) ;
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+ const targetText = document . getElementById ( 'message' ) ;
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+
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+ // Step 2: Classify the image
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+ net . classify ( targetImage ) . then ( ( result ) => {
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+ targetText . innerText = `
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+ Detected: ${ result [ 0 ] . className }
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+ Probability: ${ result [ 0 ] . probability }
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+ ` ;
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+ } ) ;
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+ } ) ;
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+ </ script >
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+ </ body >
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+ </ html >
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