From e69b81bb45c4472ed36f167a7133bb5d23c416c7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mustafa=20=C3=87avu=C5=9Fo=C4=9Flu?=
 <65891055+mustafacavusoglu@users.noreply.github.com>
Date: Thu, 31 Aug 2023 10:20:23 +0300
Subject: [PATCH 1/4] Typo Fix: BatchNormalisation -> BatchNormalization

---
 segmentation_models/models/fpn.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/segmentation_models/models/fpn.py b/segmentation_models/models/fpn.py
index deab7f54..2dbd148a 100644
--- a/segmentation_models/models/fpn.py
+++ b/segmentation_models/models/fpn.py
@@ -204,7 +204,7 @@ def FPN(
                 Each of these layers will be used to build features pyramid. If ``default`` is used
                 layer names are taken from ``DEFAULT_FEATURE_PYRAMID_LAYERS``.
         pyramid_block_filters: a number of filters in Feature Pyramid Block of FPN_.
-        pyramid_use_batchnorm: if ``True``, ``BatchNormalisation`` layer between ``Conv2D`` and ``Activation`` layers
+        pyramid_use_batchnorm: if ``True``, ``BatchNormalization`` layer between ``Conv2D`` and ``Activation`` layers
                 is used.
         pyramid_aggregation: one of 'sum' or 'concat'. The way to aggregate pyramid blocks.
         pyramid_dropout: spatial dropout rate for feature pyramid in range (0, 1).

From 5d785d3ae7b6473f27e64aa19be4ba06ba33053c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mustafa=20=C3=87avu=C5=9Fo=C4=9Flu?=
 <65891055+mustafacavusoglu@users.noreply.github.com>
Date: Thu, 31 Aug 2023 10:21:11 +0300
Subject: [PATCH 2/4] Typo Fix: BatchNormalisation -> BatchNormalization

---
 segmentation_models/models/linknet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/segmentation_models/models/linknet.py b/segmentation_models/models/linknet.py
index 74c533c9..29355ea5 100644
--- a/segmentation_models/models/linknet.py
+++ b/segmentation_models/models/linknet.py
@@ -219,7 +219,7 @@ def Linknet(
         decoder_filters: list of numbers of ``Conv2D`` layer filters in decoder blocks,
             for block with skip connection a number of filters is equal to number of filters in
             corresponding encoder block (estimates automatically and can be passed as ``None`` value).
-        decoder_use_batchnorm: if ``True``, ``BatchNormalisation`` layer between ``Conv2D`` and ``Activation`` layers
+        decoder_use_batchnorm: if ``True``, ``BatchNormalization`` layer between ``Conv2D`` and ``Activation`` layers
                     is used.
         decoder_block_type: one of
                     - `upsampling`:  use ``UpSampling2D`` keras layer

From 8863eb3a9c86f01ebd6dba411f3dc55bc7808570 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mustafa=20=C3=87avu=C5=9Fo=C4=9Flu?=
 <65891055+mustafacavusoglu@users.noreply.github.com>
Date: Thu, 31 Aug 2023 10:21:32 +0300
Subject: [PATCH 3/4] Typo Fix: BatchNormalisation -> BatchNormalization

---
 segmentation_models/models/pspnet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/segmentation_models/models/pspnet.py b/segmentation_models/models/pspnet.py
index 001b28c9..44bee5aa 100644
--- a/segmentation_models/models/pspnet.py
+++ b/segmentation_models/models/pspnet.py
@@ -184,7 +184,7 @@ def PSPNet(
             to construct PSP module on it.
         psp_conv_filters: number of filters in ``Conv2D`` layer in each PSP block.
         psp_pooling_type: one of 'avg', 'max'. PSP block pooling type (maximum or average).
-        psp_use_batchnorm: if ``True``, ``BatchNormalisation`` layer between ``Conv2D`` and ``Activation`` layers
+        psp_use_batchnorm: if ``True``, ``BatchNormalization`` layer between ``Conv2D`` and ``Activation`` layers
                 is used.
         psp_dropout: dropout rate between 0 and 1.
 

From 4feec38a738315cb2de6482efe03c9da7c79c61b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mustafa=20=C3=87avu=C5=9Fo=C4=9Flu?=
 <65891055+mustafacavusoglu@users.noreply.github.com>
Date: Thu, 31 Aug 2023 10:21:49 +0300
Subject: [PATCH 4/4] Typo Fix: BatchNormalisation -> BatchNormalization

---
 segmentation_models/models/unet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/segmentation_models/models/unet.py b/segmentation_models/models/unet.py
index 7da2b391..0e37ffe2 100644
--- a/segmentation_models/models/unet.py
+++ b/segmentation_models/models/unet.py
@@ -196,7 +196,7 @@ def Unet(
             - `transpose`:   ``Transpose2D`` -> ``Conv2D``
 
         decoder_filters: list of numbers of ``Conv2D`` layer filters in decoder blocks
-        decoder_use_batchnorm: if ``True``, ``BatchNormalisation`` layer between ``Conv2D`` and ``Activation`` layers
+        decoder_use_batchnorm: if ``True``, ``BatchNormalization`` layer between ``Conv2D`` and ``Activation`` layers
             is used.
 
     Returns: