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<link rel="stylesheet" href="/assets/main.css" />
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>Image Classifier With Teachable Machines</title>
+ <title>id="image-classifier-with-teachable-machines">Image Classifier With Teachable Machines</title>
<meta name="og:site_name" content="Navan Chauhan" />
<link rel="canonical" href="https://web.navan.dev/posts/2019-12-04-Google-Teachable-Machines.html" />
<meta name="twitter:url" content="https://web.navan.dev/posts/2019-12-04-Google-Teachable-Machines.html />
<meta name="og:url" content="https://web.navan.dev/posts/2019-12-04-Google-Teachable-Machines.html" />
- <meta name="twitter:title" content="Image Classifier With Teachable Machines" />
- <meta name="og:title" content="Image Classifier With Teachable Machines" />
+ <meta name="twitter:title" content="id="image-classifier-with-teachable-machines">Image Classifier With Teachable Machines" />
+ <meta name="og:title" content="id="image-classifier-with-teachable-machines">Image Classifier With Teachable Machines" />
<meta name="description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines" />
<meta name="twitter:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines" />
<meta name="og:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines" />
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<main>
- <h1>Image Classifier With Teachable Machines</h1>
+ <h1 id="image-classifier-with-teachable-machines">Image Classifier With Teachable Machines</h1>
<p>Made for Google Code-In</p>
@@ -52,7 +52,7 @@
<p>Using Glitch and the Teachable Machines, build a Book Detector with Tensorflow.js. When a book is recognized, the code would randomly suggest a book/tell a famous quote from a book. Here is an example Project to get you started: https://glitch.com/~voltaic-acorn</p>
-<h3>Details</h3>
+<h3 id="details">Details</h3>
<p>1) Collecting Data</p>