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authorskaae <skaaesonderby@gmail.com>2015-11-14 01:33:35 +0300
committerskaae <skaaesonderby@gmail.com>2015-11-14 01:33:35 +0300
commit894b13f16b69eadb7b8134d17008bcf9de04e2dc (patch)
tree9451972c4de3f83b209efc6ac810947fdb4cd7f2
parentc6e2b2a6c83e714a2d9f832995eb6d266075e0a6 (diff)
spelling error v2
-rw-r--r--blog/_posts/2015-11-13-gan.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/blog/_posts/2015-11-13-gan.md b/blog/_posts/2015-11-13-gan.md
index fc13583..4ee6588 100644
--- a/blog/_posts/2015-11-13-gan.md
+++ b/blog/_posts/2015-11-13-gan.md
@@ -147,8 +147,8 @@ A few other tricks are necessary for successful GAN training:
### Generating faces
-We train our GAN using aligned and cropped images from the [Labeled faces in the wild](http://vis-www.cs.umass.edu/lfw/) dataset. After a around 5 epochs (around 30 minutes on a GPU) you should start to see some spooky faces (left).
-Which after 100 epochs will look more pleasant (right).
+We train our GAN using aligned and cropped images from the [Labeled faces in the wild](http://vis-www.cs.umass.edu/lfw/) dataset. After at around 5 epochs (around 30 minutes on a GPU) you should start to see some spooky faces (left).
+And after 100 epochs will look more pleasant (right).
<p align='center'><img width="80%" src="https://raw.githubusercontent.com/torch/torch.github.io/master/blog/_posts/images/samples_during_training.png"></p>