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* bump Python to 3.9 * modify script to build container image * fix example for enas * update scripts to modify image name in ci * review: change docker build command * review: use new tf-mnist-with-example in Ci for tfjob * review: refactor tf-mnist-with-summaries * review: remove Dockerfile.ppc64le for new-ui * review: update docs related tf-mnist-with-summaries * TFEventMetricsCollector supports TF>=2.0 and stop supporting TF <=1.x * review: add help command to scripts/v1beta1/build.sh Co-authored-by: Andrey Velichkevich <[email protected]> * fix unit test for tfevent-metricscollector * review: generate tf event files on CI * add test command to Makefile * update publish-trial-images * update update-images.sh * reduce batch size Co-authored-by: Andrey Velichkevich <[email protected]>
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Tensorflow MNIST Classification With Summaries Example
This is Tensorflow MNIST image classification training container that outputs TF summaries. It uses convolutional neural network to train the model.
If you want to read more about this example, visit the official tensorflow documentation.
Katib uses this training container in some Experiments, for instance in the TFJob example.