Issue #503 Fix (#544)

* Issue #503 Fix

This fixes the issue where the "ModuleNotFoundError: No module named 'keras.layers.normalization'" issue when using TF 2.13.

I tested it with TF 2.12 and nothing seemed to break.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

* Fixed BatchNormalization position for pre-commit

* Update whats_new.rst

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

docs/source/whats_new.rst

@@ -29,6 +29,7 @@ Bugs
 
 - Fix TRCA implementation for different stimulation freqs and for signal filtering (:gh:522 by `Sylvain Chevallier`_)
 - Fix saving to BIDS runs with a description string in their name (:gh:`530` by `Pierre Guetschel`_)
+- Fix import of keras BatchNormalization for TF 2.13 and higher (:gh:`544` by `Brian Irvine`_)
 
 API changes
 ~~~~~~~~~~~
@@ -418,3 +419,4 @@ API changes
 .. _Ludovic Darmet: https://github.com/ludovicdmt
 .. _Thomas Moreau: https://github.com/tommoral
 .. _Jordy Thielen: https://github.com/thijor
+.. _Brian Irvine: https://github.com/brianjohannes

moabb/pipelines/deep_learning.py

@@ -17,6 +17,7 @@
     Add,
     AveragePooling2D,
     AvgPool2D,
+    BatchNormalization,
     Concatenate,
     Conv2D,
     Dense,
@@ -29,7 +30,6 @@
     MaxPooling2D,
     Permute,
 )
-from keras.layers.normalization.batch_normalization import BatchNormalization
 from keras.models import Model, Sequential
 from scikeras.wrappers import KerasClassifier
 

moabb/pipelines/utils_deep_model.py

@@ -14,13 +14,13 @@
     Activation,
     Add,
     AveragePooling2D,
+    BatchNormalization,
     Conv1D,
     Conv2D,
     DepthwiseConv2D,
     Dropout,
     SeparableConv2D,
 )
-from keras.layers.normalization.batch_normalization import BatchNormalization
 
 
 def EEGNet(