Practical Deep Learning for Cloud, Mobile, and Edge by Anirudh Koul

Author:Anirudh Koul
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2019-10-20T16:00:00+00:00

<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>

Note that we no longer need to import anything related to TensorFlow.js, because it already comes included with ml5.js. We create a simple example where we use the same MobileNet scenario as earlier:

// Initialize the image classifier method with MobileNet const classifier = ml5.imageClassifier('MobileNet', modelLoaded); // Make a prediction with the selected image classifier.predict(document.getElementById('image'), function(err, results) { console.log(results); });

Done! In effectively three lines, a pretrained model is running in our browser. Now, let’s open the browser’s console to inspect the output presented in Figure 10-10.

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