More authoritative-ness

This commit is contained in:
Shan Carter
2017-08-28 18:18:29 -07:00
parent f86f1d0a91
commit bdb7aa032c
3 changed files with 22 additions and 44 deletions
+3 -3
View File
@@ -9,7 +9,7 @@
title: Demo Title Attention and Augmented Recurrent Neural Networks
published: Jan 10, 2017
authors:
- Chris Olah:
- Chris Olah: http://shancarter.com
- Shan Carter: http://shancarter.com
affiliations:
- Google Brain
@@ -21,8 +21,8 @@
<body>
<d-article>
<d-title>
<h1>Attention and Augmented Recurrent Neural Networks</h1>
<h2>Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively.</h2>
<h1>How to Use t-SNE Effectively</h1>
<h2>Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading.</h2>
<d-byline></d-byline>
</d-title>
<!-- <d-abstract>