Apply suggestions from code review

Co-authored-by: Tianyi Zheng <[email protected]>

Author: cclauss

maths/points_are_collinear_3d.py

@@ -97,8 +97,8 @@ def are_collinear(a: Point3d, b: Point3d, c: Point3d, accuracy: int = 10) -> boo
     """
     Check if three points are collinear or not.
 
-    1- Create tow vectors AB and AC.
-    2- Get the cross vector of the tow vectors.
+    1- Create two vectors AB and AC.
+    2- Get the cross vector of the two vectors.
     3- Calculate the length of the cross vector.
     4- If the length is zero then the points are collinear, else they are not.
 

neural_network/convolution_neural_network.py

@@ -135,7 +135,7 @@ def convolute(self, data, convs, w_convs, thre_convs, conv_step):
             )
             data_featuremap.append(featuremap)
 
-        # expanding the data slice to One dimension
+        # expanding the data slice to one dimension
         focus1_list = []
         for each_focus in data_focus:
             focus1_list.extend(self.Expand_Mat(each_focus))