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Predict_​Using_​MNIST_​Model_​Deployed_​In_​TensorFlow_​Serving

Predict Using MNIST Model Deployed In TensorFlow Serving

This workflow can be used as an inference workflow running in KNIME Edge that takes an image as input and uses an MNIST mode deployed via TensorFlow Serving to get preditctions for the image.

transform image to probabilities and probabilitiesto predicted class labelPredict via TensorFlowServing (gRPC) Format results Image Reader(Table) Variable toTable Row File Upload Preprocessing Table to JSON ContainerOutput (JSON) transform image to probabilities and probabilitiesto predicted class labelPredict via TensorFlowServing (gRPC) Format results Image Reader(Table) Variable toTable Row File Upload Preprocessing Table to JSON ContainerOutput (JSON)

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Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: simon
Created at: 2021-04-20
On NodePit since: 2021-06-09
Last update: 2024-04-20
Created with KNIME version: v4.3.2
Tags: KINME EdgeTensorFlow Serving

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