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Upload_​MNIST_​TensorFlow_​Model_​To_​S3

Upload MNIST TensorFlow Model To S3

This workflow reads a TensorFlow model trained on the MNIST dataset. It then adds the 'serving' tag to the network and uploads it to S3 as saved model.

In order to run the example, please make sure you have the following KNIME extensions installed:

* KNIME Deep Learning - TensorFlow Integration




Read TensorFlow model. The TensorFlow modelneeds to have the'serving' tag to work withTensorFlow Serving. Upload the TensorFlow model to the S3 bucket that is syncedby KNIME Edge. Select the bucket to upload toas working directory. Add 'serving' tagto TensorFlow model AmazonAuthentication Amazon S3 Connector Upload TensorFlowmodel to S3 TensorFlowNetwork Reader Read TensorFlow model. The TensorFlow modelneeds to have the'serving' tag to work withTensorFlow Serving. Upload the TensorFlow model to the S3 bucket that is syncedby KNIME Edge. Select the bucket to upload toas working directory.Add 'serving' tagto TensorFlow model AmazonAuthentication Amazon S3 Connector Upload TensorFlowmodel to S3 TensorFlowNetwork Reader

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