How To Deploy ML Models With Google Cloud Run

Learn how to deploy Machine Learning / Deep Learning models with Google Cloud Run. We build a simple app with TensorFlow and Flask, containerize it with Docker, and deploy it to Google Cloud Run. Code and instructions: https://github.com/patrickloeber/ml-deployment Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ : https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 Twitter - https://twitter.com/patloeber ✉️ Newsletter - https://www.python-engineer.com/newsletter 📸 Instagram - https://www.instagram.com/patloeber 🦾 Discord: https://discord.gg/FHMg9tKFSN ▶️ Subscribe: https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/patrickloeber #Python Resources: https://cloud.google.com/sdk/docs/install https://cloud.google.com/run/docs/quickstarts/build-and-deploy#containerizing https://sararobinson.dev/2020/08/18/ml-ops-cloud-run.html TensorFlow course: https://www.youtube.com/playlist?list=PLqnslRFeH2Uqfv1Vz3DqeQfy0w20ldbaV PyTorch course: https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 Timeline: 00:00 Introduction 00:52 Prepare Model 04:27 Write Flask App 12:20 Setup Google Cloud Project 12:59 Google Cloud SDK 13:47 Dockerfile 16:41 Deploy ---------------------------------------------------------------------------------------------------------- * This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏