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fixes merge conflicts
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‎d3/KMeans/KMeans_GaussianClusterDemo/index.html

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<title>ml5.js kmeans example</title>
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<script src="https://d3js.org/d3.v4.min.js"></script>
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<script src="https://unpkg.com/[email protected].2/dist/ml5.min.js" type="text/javascript"></script>
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎examples.json

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‎javascript/BodyPix/BodyPix_Image/index.html

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<title>BodyPix with Webcam</title>
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎javascript/BodyPix/BodyPix_Webcam/index.html

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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎javascript/BodyPix/BodyPix_Webcam_Parts/index.html

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‎javascript/CVAE/CVAE_QuickDraw/index.html

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<meta name="viewport" content="width=device-width, initial-scale=1" >
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<title>CVAE with quick_draw</title>
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‎javascript/CharRNN/CharRNN_Interactive/index.html

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<title>Interactive CharRNN Text Generation Example</title>
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<script src="https://unpkg.com/[email protected].2/dist/ml5.min.js" type="text/javascript"></script>
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<h2>This example uses a pre-trained model on a corpus of <a href="https://en.wikipedia.org/wiki/Virginia_Woolf">Virginia Woolf</a></h2>
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<textarea id="textInput" style="width: 300px; height: 50px;" placeholder="type here"></textarea>
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<br /> length:
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<input id="lenSlider" type="range" min="1" max="100" value="20" /> <span id="length">20</span>
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<input id="lenSlider" type="range" min="1" max="100" value="20" /> <span id="length">20</span>
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<br /> temperature:
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span>
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span>
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<p id="status">Loading Model</p>
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<p id="result">
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<span id="original"></span><span id="prediction"></span>

‎javascript/CharRNN/CharRNN_Text/index.html

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<meta charset="UTF-8">
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<title>LSTM Text Generation Example</title>
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<h1>LSTM Text Generation Example</h1>
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<h2>This example uses a pre-trained model on a corpus of <a href="https://en.wikipedia.org/wiki/Virginia_Woolf">Virginia Woolf</a></h2>
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<p>seed text:
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<input id="textInput" value="The meaning of life is" />
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<input id="textInput" value="The meaning of life is" />
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</p>
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<p>length:
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<input id="lenSlider" type="range" min="10" max="500" value="100" /> <span id="length">100</span></p>
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<input id="lenSlider" type="range" min="10" max="500" value="100" /> <span id="length">100</span></p>
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<p>temperature:
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span></p>
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span></p>
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‎javascript/CharRNN/CharRNN_Text_Stateful/index.html

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<title>Stateful CharRNN Text Generation Example</title>
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<p>Instead of feeding every single character every frame to predict the next character, we feed only the last character, and instruct the CharRNN to remember its internal state.</p>
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<p>This example uses a pre-trained model on a corpus of <a href="https://en.wikipedia.org/wiki/Virginia_Woolf">Virginia Woolf</a></p>
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<p>seed text:
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<input id="textInput" value="The sky was blue and " />
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</p>
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<p>temperature:
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span>
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<input id="tempSlider" type="range" min="0" max="1" step="0.01" /><span id="temperature">0.5</span>
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</p>
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<p><button id="reset">Reset</button><button id="start">Start</button><button id="single">Single</button></p>
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<p id="status">Loading Model</p>

‎javascript/DCGAN/DCGAN_Random/index.html

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<meta name="viewport" content="width=device-width, initial-scale=1">
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎javascript/FaceApi/FaceApi_Image_Landmarks/index.html

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<meta charset="UTF-8">
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<title>FaceApi Landmarks Demo</title>
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‎javascript/FaceApi/FaceApi_Video_Landmarks/index.html

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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎javascript/FaceApi/FaceApi_Video_Landmarks_LocalModels/index.html

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<meta charset="UTF-8">
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<title>FaceApi Landmarks Demo With Local Models</title>
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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‎javascript/FeatureExtractor/FeatureExtractor_Image_Classification/index.html

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<title>Image Classification using Feature Extraction with MobileNet</title>
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‎javascript/FeatureExtractor/FeatureExtractor_Image_Regression/index.html

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<title>Image Regression using Feature Extraction with MobileNet.</title>
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</div>
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<h6><span id="modelStatus">Loading base model...</span> | <span id="videoStatus">Loading video...</span></h6>
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<input type="range" name="slider" id="slider" min="0.01" max="1.0" step="0.01" value="0.5" />
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‎javascript/ImageClassification/ImageClassification/index.html

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<h1>Image classification using MobileNet</h1>
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<p>The MobileNet model labeled this as <span id="result">...</span> with a confidence of <span id="probability">...</span>.</p>
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<img src="images/bird.jpg" id="image" width="400" />
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‎javascript/ImageClassification/ImageClassification_DoodleNet_Canvas/index.html

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<title>Canvas Image Classification using DoodleNet</title>
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‎javascript/ImageClassification/ImageClassification_DoodleNet_Video/index.html

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<title>Webcam Image Classification using DoodleNet</title>
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‎javascript/ImageClassification/ImageClassification_MultipleImages/index.html

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<title>Multiple Image classification using MobileNet</title>
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‎javascript/ImageClassification/ImageClassification_Video/index.html

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<title>Webcam Image Classification using MobileNet</title>
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‎javascript/ImageClassification/ImageClassification_VideoScavengerHunt/index.html

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‎javascript/ImageClassification/ImageClassification_VideoSound/index.html

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‎javascript/ImageClassification/ImageClassification_Video_Load/index.html

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‎javascript/KNNClassification/KNNClassification_PoseNet/index.html

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‎javascript/KNNClassification/KNNClassification_Video/index.html

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‎javascript/KNNClassification/KNNClassification_VideoSound/index.html

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<title>KNN Classification on Webcam Images with Speech Output Using mobileNet.</title>
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‎javascript/KNNClassification/KNNClassification_VideoSquare/index.html

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‎javascript/PitchDetection/PitchDetection/index.html

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‎javascript/PitchDetection/PitchDetection_Game/index.html

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‎javascript/PitchDetection/PitchDetection_Piano/index.html

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‎javascript/Pix2Pix/Pix2Pix_callback/index.html

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‎javascript/Pix2Pix/Pix2Pix_promise/index.html

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‎javascript/PoseNet/PoseNet_image_single/index.html

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<p id='status'>Loading model...</p>
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<img id="image" style="display:none" src="data/runner.jpg" alt="runner image" />
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<img id="image" style="display:none" src="data/runner.jpg" alt="runner image" />
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<canvas id="canvas"></canvas>
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<p>image via: <a href="https://www.pexels.com/photo/topless-man-wearing-grey-and-black-shorts-sprinting-on-concrete-road-1401796/" target="_blank">Pexels</a></p>
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<script src="sketch.js"></script>

‎javascript/PoseNet/PoseNet_part_selection/index.html

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<meta charset="UTF-8">
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<title>PoseNet Part Selection</title>
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<script src="https://unpkg.com/[email protected].2/dist/ml5.min.js" type="text/javascript"></script>
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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</head>
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‎javascript/PoseNet/PoseNet_webcam/index.html

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<meta charset="UTF-8">
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<title>PoseNet Example</title>
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<script src="https://unpkg.com/[email protected].2/dist/ml5.min.js" type="text/javascript"></script>
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<script src="https://unpkg.com/[email protected].3/dist/ml5.min.js" type="text/javascript"></script>
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