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I am afraid that cannot help here :( this code was written in keras-theano times and I haven't written any tensorflow code since then. Probably it would be much simpler to re-implement everything from scratch.
Thank you for your quick reply. I reimplemented everything in TF 2.4.1, the only problem is how to run the first batch through the layer on which the LSUV is applied and get the activations.
If I run your code, the following error arises:
RuntimeError: The layer has never been called and thus has no defined input.
It is due to
model.get_input_at(0)
indef get_activations(model, layer, X_batch):
, but I can not manage how to fix it...Thanks in advance.
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