Now that we have Express set up to host a web app for us, let’s start building one! In this video, we’re going to begin building our first client-side neural network application using TensorFlow.js.
With this app, a user will select an image, submit it to the model, and get a prediction. We won’t be restricted to choosing only cat and dog images this time though because we won’t be using fine-tuned models this time.
We’ll be using original pre-trained models (VGG16 and MobileNet) that were trained on ImageNet, so we’ll have a much wider variety of images we can choose from. Once we submit our selected image to the model, the app will give us back the top five predictions for that image from the ImageNet classes.
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