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Diffstat (limited to 'docs/posts/2019-12-22-Fake-News-Detector.html')
-rw-r--r-- | docs/posts/2019-12-22-Fake-News-Detector.html | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/docs/posts/2019-12-22-Fake-News-Detector.html b/docs/posts/2019-12-22-Fake-News-Detector.html index bbf1510..7348705 100644 --- a/docs/posts/2019-12-22-Fake-News-Detector.html +++ b/docs/posts/2019-12-22-Fake-News-Detector.html @@ -6,22 +6,22 @@ <link rel="stylesheet" href="/assets/sakura.css" /> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>Hey - Post</title> + <title>Hey - Post - Building a Fake News Detector with Turicreate</title> <meta name="og:site_name" content="Navan Chauhan" /> - <link rel="canonical" href="https://navanchauhan.github.io/" /> - <meta name="twitter:url" content="https://navanchauhan.github.io/" /> - <meta name="og:url" content="https://navanchauhan.github.io/" /> - <meta name="twitter:title" content="Hey" /> - <meta name="og:title" content="Hey" /> - <meta name="description" content="Welcome to my personal fragment of the internet." /> - <meta name="twitter:description" content="Welcome to my personal fragment of the internet. Majority of the posts should be complete." /> - <meta name="og:description" content="Welcome to my personal fragment of the internet." /> - <meta name="twitter:card" content="summary" /> + <link rel="canonical" href="https://web.navan.dev/" /> + <meta name="twitter:url" content="https://web.navan.dev/" /> + <meta name="og:url" content="https://web.navan.dev/" /> + <meta name="twitter:title" content="Hey - Post - Building a Fake News Detector with Turicreate" /> + <meta name="og:title" content="Hey - Post - Building a Fake News Detector with Turicreate" /> + <meta name="description" content=" In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app " /> + <meta name="twitter:description" content=" In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app " /> + <meta name="og:description" content=" In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app " /> + <meta name="twitter:card" content=" In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app " /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <link rel="shortcut icon" href="/images/favicon.png" type="image/png" /> <link rel="alternate" href="/feed.rss" type="application/rss+xml" title="Subscribe to Navan Chauhan" /> - <meta name="twitter:image" content="https://navanchauhan.github.io/images/logo.png" /> - <meta name="og:image" content="https://navanchauhan.github.io/images/logo.png" /> + <meta name="twitter:image" content="https://web.navan.dev/images/logo.png" /> + <meta name="og:image" content="https://web.navan.dev/images/logo.png" /> <link rel="manifest" href="manifest.json" /> <meta name="google-site-verification" content="LVeSZxz-QskhbEjHxOi7-BM5dDxTg53x2TwrjFxfL0k" /> <script async src="//gc.zgo.at/count.js" data-goatcounter="https://navanchauhan.goatcounter.com/count"></script> |