Update beginner_source/knowledge_distillation_tutorial.py

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

Author: AlexandrosChrtn

beginner_source/knowledge_distillation_tutorial.py

@@ -84,7 +84,7 @@
 test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=128, shuffle=False, num_workers=2)
 
 ######################################################################
-# Moving forward we need to define our model classes. A number of user defined parameters needs to be set here. We use 2 different architectures, keeping the number of filters fixed across our experiments to ensure fair comparisons.
+# 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.
 # The number of filters and neurons is smaller for the students.