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2 changes: 1 addition & 1 deletion beginner_source/dcgan_faces_tutorial.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
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