The dataset for TensorFlow Serving with Docker for Model Deployment is available here.
- Import model tf2-preview/nnlm-en-dim128 from Tensorflow Hub
- Freeze the imported model and train single dense layer
- Export the Model as Protobuf
- Start TensorFlow Serving with Docker
- Setup a client (either gRPC or REST based)
- Run the client
- We predict Amazon product ratings based on plaintext reviews using gRPC or REST client.
This is the project done from Coursera Project Network course