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Textured surface anomaly detection
When I tried to run these code on DAGM class1, only first seg epoch returned conceivable values.
From seg epoch 002, all member in pred went 0.
print(ops['pred'].eval(feed_dict=feed_dict, session=sess).flatten()) [0. 0. 0. ... 0. 0. 0.]
First I doubted dying Relu, but extreamly small --base_learning_rate didn' t work.
Now I trying to clarify the way of batchnormalization in your code, confusing to me.
If you make sense what is my problem, would you give me out any advice?
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