A Jupyter notebook showing how to train a prepacked Estimator and export it as a SavedModel for usage in a JAVA environment.
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README.md
Wine Quality.ipynb

README.md

Tensorflow SavedModel Example

A Jupyter notebook showing how to train a prepacked Estimator and export it as a SavedModel for usage in a JAVA environment.

This example is part of the “Enterprise Tensorflow” blog series on https://divis.io

The code itself is licensed under the Apache 2.0 license (see LICENSE), the dataset used comes with the following note:

This dataset is public available for research. The details are described in Cortez et al., 2009. Please include this citation if you plan to use this database:

P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.

Modeling wine preferences by data mining from physicochemical properties.

In Decision Support Systems, Elsevier, 47(4):547-553. ISSN: 0167-9236.

Available at: