ci: bump version to 3.2.1

Author: marcpinet

examples/classification-regression/cancer_binary.ipynb

@@ -34,7 +34,7 @@
     "from neuralnetlib.layers import Input, Activation, Dense, BatchNormalization\n",
     "from neuralnetlib.callbacks import EarlyStopping\n",
     "from neuralnetlib.losses import BinaryCrossentropy\n",
-    "from neuralnetlib.modelss import Model\n",
+    "from neuralnetlib.models import Model\n",
     "from neuralnetlib.optimizers import Adam\n",
     "from neuralnetlib.metrics import accuracy_score, f1_score, recall_score, precision_score\n",
     "from neuralnetlib.utils import train_test_split"

examples/real-life-applications/handwrittendigits/tkinter_gui_handwritten.py

@@ -3,7 +3,7 @@
 import numpy as np
 from PIL import Image, ImageDraw
 
-from neuralnetlib.modelss import Model
+from neuralnetlib.models import Model
 
 
 def main():

examples/real-life-applications/tictactoe/tic_tac_toe_alternative_dataset_shape.py

@@ -8,7 +8,7 @@
 from neuralnetlib.layers import Input, Dense, Activation
 from neuralnetlib.losses import BinaryCrossentropy
 from neuralnetlib.metrics import accuracy_score
-from neuralnetlib.modelss import Model
+from neuralnetlib.models import Model
 from neuralnetlib.optimizers import Adam
 from neuralnetlib.callbacks import EarlyStopping
 

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name='neuralnetlib',
-    version='3.2.0',
+    version='3.2.1',
     author='Marc Pinet',
     description='A flexible deep learning framework built from scratch using only NumPy',
     long_description=open('README.md', encoding="utf-8").read(),

tests/test_models.py

@@ -4,7 +4,7 @@
 
 from neuralnetlib.activations import Sigmoid
 from neuralnetlib.layers import Input, Dense
-from neuralnetlib.modelss import Model, Activation, CategoricalCrossentropy
+from neuralnetlib.models import Model, Activation, CategoricalCrossentropy
 from neuralnetlib.optimizers import SGD