what is the price of a house given its square footage), and host it via Firebase Hosting so that it can be used at scale. We will make a very simple lightweight model that can predict a numerical output value given some input value (e.g. In this code lab you will create a full end to end system capable of hosting and running a custom saved TensorFlow.js model along with its related assets such as HTML, CSS, and JavaScript. There are many options to do this, but today we shall see how easy it is to use Firebase Hosting which can also give you some extra benefits such as versioning, serving models over a secure connection, and more out of the box. So you've created a custom machine learning model with TensorFlow.js but now you need to host it somewhere to use on a website of your choice.
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