How to Deploy ML Models with Google Cloud Run

Discover how to deploy Machine Learning and Deep Learning models using Google Cloud Run in this 20-minute tutorial video. Build a simple application with TensorFlow and Flask, containerize it using Docker, and deploy it to Google Cloud Run. Follow along as the instructor guides you through preparing the model, writing a Flask app, setting up a Google Cloud project, installing the Google Cloud SDK, creating a Dockerfile, and finally deploying your application. Access the provided code and instructions on GitHub to enhance your understanding of ML model deployment in the cloud.