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Just tested the costumizing_adanet tutorial on MNIST dataset with Python 3.
The only thing I needed to change was the line (images=features.vaules()[0]) in build_subnetwork function with the following line;
images = tf.to_float(features[FEATURES_KEY])
Currently they are only tested with Python 2.7.
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