Machine Learning in Production: Keras, Flask, Docker and Heroku

Pipeline for ML/DL solutions: Build the model, create an API to interact with it, containerize it and deploy it.

Show Off Your Machine Learning Project on Web Part 3: Deploy onto Heroku with Docker

What client needs are a domain name and a browser.After you create a dockerized environment, you think you should deploy your app on cloud so that you can show off your machine learning project, web development and DevOps skills