You will first load and run a popular pre-trained model called MobileNet for image classification in the browser. You will then use a technique called "transfer learning", which bootstraps our training with the pre-trained MobileNet model and customizes it to train for your application.
mobilenet_inference.html -
Allows to make predictions on images that come through the webcam in real-time.
custom_classifier.html -
Allows to capture images for each of the three classes. Each time you click one
of the "Add" buttons, one image is added to that class as a training example.
While you do this, the model continues to make predictions on webcam images
coming in and shows the results in real-time.
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