Deploying Deep Learning Models on the Web With Flask | Paperspace Blog

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

Huge thanks for writing this thorough article! your article inspired me to enter python ML world!

I am sorry but your code has a lot of bugs and the instruction is not very clear!