Update beginner_source/knowledge_distillation_tutorial.py

Co-authored-by: Svetlana Karslioglu <svekars@meta.com>

Author: AlexandrosChrtn

beginner_source/knowledge_distillation_tutorial.py

@@ -85,7 +85,7 @@
 
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 # Next, we need to define our model classes. Several user-defined parameters need to be set here. We use two different architectures, keeping the number of filters fixed across our experiments to ensure fair comparisons..
-# Both architectures are Convolutional Neural Networks (CNNs) with a different number of convolutional layers that work as feature extractors followed by a classifier, with 10 classes.
+# Both architectures are Convolutional Neural Networks (CNNs) with a different number of convolutional layers that serve as feature extractors, followed by a classifier with 10 classes. 
 # The number of filters and neurons is smaller for the students.
 
 # Deeper neural network class to be used as teacher