From 5ee086398bc29dc3ae32f84096c5b211565df645 Mon Sep 17 00:00:00 2001 From: Yacine Mahdid Date: Fri, 26 Jun 2020 12:16:09 -0400 Subject: [PATCH] Fix small formatting issue It bothered me when I was reading the docs so I've fixed ti --- beginner_source/nn_tutorial.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/beginner_source/nn_tutorial.py b/beginner_source/nn_tutorial.py index 5f915a3d3ea..dce47ca7ffd 100644 --- a/beginner_source/nn_tutorial.py +++ b/beginner_source/nn_tutorial.py @@ -754,8 +754,7 @@ def preprocess(x): # # Our CNN is fairly concise, but it only works with MNIST, because: # - It assumes the input is a 28\*28 long vector -# - It assumes that the final CNN grid size is 4\*4 (since that's the average -# pooling kernel size we used) +# - It assumes that the final CNN grid size is 4\*4 (since that's the average pooling kernel size we used) # # Let's get rid of these two assumptions, so our model works with any 2d # single channel image. First, we can remove the initial Lambda layer but