<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>deep-learning on David An</title>
    <link>https://davidan.dev/tags/deep-learning/</link>
    <description>Recent content in deep-learning on David An</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 12 May 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://davidan.dev/tags/deep-learning/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Fake News Detection Using NLP (FaDe-Net)</title>
      <link>https://davidan.dev/research/fadenet/</link>
      <pubDate>Wed, 12 May 2021 00:00:00 +0000</pubDate>
      
      <guid>https://davidan.dev/research/fadenet/</guid>
      <description>FaDe-Net [Writeup] David An - AP Research Project
Abstract The rapid development of social media and online news outlets has accelerated the spread of fake news across the internet. The accessibility and convenience of social media has further driven the drastic change of information consumption. As a consequence, fake news has become a significant concern because of 1) its inevitable exposure to large populations and 2) the potential to cause significant damage in modern society.</description>
    </item>
    
  </channel>
</rss>
