From f8d079ae69a0422548631f624872c09310627da4 Mon Sep 17 00:00:00 2001 From: Joseph Spisak Date: Sun, 21 Jul 2019 21:48:05 -0700 Subject: [PATCH] Update dcgan_faces_tutorial.py Corrected to CHW not HWC (3x36x36) --- 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 018d67a3705..74e9d94406a 100644 --- a/beginner_source/dcgan_faces_tutorial.py +++ b/beginner_source/dcgan_faces_tutorial.py @@ -53,7 +53,7 @@ # :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 -# :math:`D(x)` is an image of HWC size 3x64x64. Intuitively, :math:`D(x)` +# :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 # as a traditional binary classifier.