Can you explain how the train and test phase of the batch norm layer is handled in this case ? Say I want to use this model in a custom training and evaluation loop.
Here's the Xception architecture tutorial in Colab form: https://colab.research.google.com/drive/1BT_t64JCzr8ge51orG8uLBLIL7w1Hos4 …https://twitter.com/fchollet/status/1100169756953346048 …
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Thanks for sharing. Did you use the 25000 images train dataset?with maybe data augmentation?
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