Whether you're working locally or on the cloud, many machine learning engineers don't have experience actually deploying their models so that they can be used on a global scale. In this tutorial we'll see how you can take your work and give it an audience by deploying your projects on the web. We'll start by creating a simple model which recognizes handwritten digits. Then we'll see step-by-step how to create an interface for deploying it on the web using Flask, a micro web framework written in Python.
This is a companion discussion topic for the original entry at https://blog.paperspace.com/deploying-deep-learning-models-flask-web-python/