How To Deploy ML Models With Google Cloud Run
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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-d... • Get my Free NumPy Handbook: • https://www.python-engineer.com/numpy... • ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code PyCharm: https://sourcery.ai/?utm_source=youtu... * • ⭐ Join Our Discord : / discord • 📓 ML Notebooks available on Patreon: • / patrickloeber • If you enjoyed this video, please subscribe to the channel: • ▶️ : / @patloeber • ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ • 🖥️ Website: https://www.python-engineer.com • 🐦 Twitter - / patloeber • ✉️ Newsletter - https://www.python-engineer.com/newsl... • 📸 Instagram - / patloeber • 🦾 Discord: / discord • ▶️ Subscribe: / @patloeber • ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ • 🅿 Patreon - / patrickloeber • #Python • Resources: • https://cloud.google.com/sdk/docs/ins... • https://cloud.google.com/run/docs/qui... • https://sararobinson.dev/2020/08/18/m... • TensorFlow course: • TensorFlow 2 Beginner Course • PyTorch course: • PyTorch Tutorials - Complete Beginner... • 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! 🙏
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