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$\begingroup$ Your idea is already here: tensorflow.org/api_docs/python/tf/keras/layers/Normalization :) This performs standardization, so if one requires a different normalization (like min-max scaling) is possible to create a custom pre-processing layer with weights that would be learned before training, then fixed, and finally saved along the model's weights $\endgroup$

Luca Anzalone
– Luca Anzalone

2023-09-18 12:04:11 +00:00
Commented Sep 18, 2023 at 12:04
2

$\begingroup$ Ahaa I didn't know about that one, it seems like a better fit for this purpose rather than the BatchNormalization. $\endgroup$

NikoNyrh
– NikoNyrh

2023-09-19 08:16:25 +00:00
Commented Sep 19, 2023 at 8:16
$\begingroup$ Thank you both very much for these helpful thoughts and alternative approaches. $\endgroup$

Pittsburgh DBA
– Pittsburgh DBA

2023-09-20 18:52:51 +00:00
Commented Sep 20, 2023 at 18:52

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