Uploaded July 2022 | Updated September 2026, 5 days ago

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Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to TensorFlow serving backend with Python and C++. Don’t worry if your client uses another language, below there are new sets of codelabs covering web, Android, Flutter, and iOS frontends.

Codelabs
Image Classification with TensorFlow Serving (Web) → https://goo.gle/3tQfqMb
Object Detection with TensorFlow Serving (Android) → https://goo.gle/3Oyo7mf
Text Classification with TensorFlow Serving (Flutter) → https://goo.gle/3OrvJGY
Regression with TensorFlow Serving (iOS) → https://goo.gle/3xHHjXF

Resources:
TensorFlow Serving examples → https://goo.gle/3tRuAk1
gRPC → https://goo.gle/3y9jA4a
gRPC Python basics tutorial → https://goo.gle/3HGdlb7
gRPC vs REST: Understanding gRPC, OpenAPI and REST and when to use them in API design → https://goo.gle/3bh8PUC

Deploying Production ML Models with TensorFlow Serving playlist → https://goo.gle/tf-serving
Subscribe to TensorFlow → https://goo.gle/TensorFlow

#TensorFlow #MachineLearning #ML