From e994e00270efb10b86b601ef781c23f4762d5f5a Mon Sep 17 00:00:00 2001
From: universuen <52519513+universuen@users.noreply.github.com>
Date: Mon, 7 Jun 2021 14:33:06 +0800
Subject: [PATCH] Update dcgan_faces_tutorial.py

---
 beginner_source/dcgan_faces_tutorial.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/beginner_source/dcgan_faces_tutorial.py b/beginner_source/dcgan_faces_tutorial.py
index 45b55700862..4a665ba6d60 100644
--- a/beginner_source/dcgan_faces_tutorial.py
+++ b/beginner_source/dcgan_faces_tutorial.py
@@ -52,7 +52,7 @@
 # with the discriminator. Let :math:`x` be data representing an image.
 # :math:`D(x)` is the discriminator network which outputs the (scalar)
 # probability that :math:`x` came from training data rather than the
-# generator. Here, since we are dealing with images the input to
+# generator. Here, since we are dealing with images, the input to
 # :math:`D(x)` is an image of CHW size 3x64x64. Intuitively, :math:`D(x)`
 # should be HIGH when :math:`x` comes from training data and LOW when
 # :math:`x` comes from the generator. :math:`D(x)` can also be thought of