From d676ac27c4bd7e5a967fbbc86f39836a67c83335 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Mon, 4 Mar 2019 15:52:29 +0100 Subject: cosmetics --- site/includes/about_navigation.html | 10 ++++++++++ site/includes/citations.html | 3 ++- site/includes/map.html | 1 + site/includes/synthetic_faces_intro.html | 4 ++++ 4 files changed, 17 insertions(+), 1 deletion(-) create mode 100644 site/includes/about_navigation.html create mode 100644 site/includes/synthetic_faces_intro.html (limited to 'site/includes') diff --git a/site/includes/about_navigation.html b/site/includes/about_navigation.html new file mode 100644 index 00000000..f82b77b7 --- /dev/null +++ b/site/includes/about_navigation.html @@ -0,0 +1,10 @@ +
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Citations

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Add information about how the citations were generated

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Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV

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Academic
Industry
diff --git a/site/includes/synthetic_faces_intro.html b/site/includes/synthetic_faces_intro.html new file mode 100644 index 00000000..13f6db0e --- /dev/null +++ b/site/includes/synthetic_faces_intro.html @@ -0,0 +1,4 @@ +
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Synthetic Faces

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To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset.

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