From f35553a0605198a251100fbf27952d01dad05e7a Mon Sep 17 00:00:00 2001
From: Peter Steinbach <p.steinbach@hzdr.de>
Date: Wed, 4 Mar 2020 14:48:23 +0100
Subject: [PATCH] top layer is ML lingo that requires an explanation for
 newcomers

---
 tutorials/01-basics/pytorch_basics/main.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tutorials/01-basics/pytorch_basics/main.py b/tutorials/01-basics/pytorch_basics/main.py
index 744400c2..03e83c5f 100644
--- a/tutorials/01-basics/pytorch_basics/main.py
+++ b/tutorials/01-basics/pytorch_basics/main.py
@@ -168,6 +168,8 @@ def __len__(self):
     param.requires_grad = False
 
 # Replace the top layer for finetuning.
+# top layer (or fully connected layer) refers to
+# the last layer before the output of the network
 resnet.fc = nn.Linear(resnet.fc.in_features, 100)  # 100 is an example.
 
 # Forward pass.