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
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#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
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Chapters (7)
Introduction
0:52
Prepare Model
4:27
Write Flask App
12:20
Setup Google Cloud Project
12:59
Google Cloud SDK
13:47
Dockerfile
16:41
Deploy
🎓
Tutor Explanation
DeepCamp AI