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-rw-r--r--posts/2019-12-08-Image-Classifier-Tensorflow/index 3.html (renamed from posts/2019-12-08-Image-Classifier-Tensorflow/index 2.html)2
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-rw-r--r--posts/2019-12-10-TensorFlow-Model-Prediction/index 3.html (renamed from posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html)2
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-rw-r--r--posts/2019-12-22-Fake-News-Detector/index 3.html (renamed from posts/2019-12-22-Fake-News-Detector/index 2.html)2
-rw-r--r--posts/2020-01-14-Converting-between-PIL-NumPy/index 3.html (renamed from posts/2020-01-14-Converting-between-PIL-NumPy/index 2.html)2
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diff --git a/posts/2019-12-08-Image-Classifier-Tensorflow/index 2.html b/posts/2019-12-08-Image-Classifier-Tensorflow/index 3.html
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-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><title>Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan</title><meta name="twitter:title" content="Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan"/><meta name="og:title" content="Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan"/><meta name="description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="twitter:description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="og:description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 4 minute read.</span><h1>Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria</h1><p><strong>Done during Google Code-In. Org: Tensorflow.</strong></p><h2>Imports</h2><pre><code><div class="highlight"><span></span><span class="o">%</span><span class="n">tensorflow_version</span> <span class="mf">2.</span><span class="n">x</span> <span class="c1">#This is for telling Colab that you want to use TF 2.0, ignore if running on local machine</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-08-Image-Classifier-Tensorflow"/><title>Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan</title><meta name="twitter:title" content="Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan"/><meta name="og:title" content="Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan Chauhan"/><meta name="description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="twitter:description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="og:description" content="Tutorial on creating an image classifier model using TensorFlow which detects malaria"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 4 minute read.</span><h1>Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria</h1><p><strong>Done during Google Code-In. Org: Tensorflow.</strong></p><h2>Imports</h2><pre><code><div class="highlight"><span></span><span class="o">%</span><span class="n">tensorflow_version</span> <span class="mf">2.</span><span class="n">x</span> <span class="c1">#This is for telling Colab that you want to use TF 2.0, ignore if running on local machine</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span> <span class="c1"># We use the PIL Library to resize images</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
diff --git a/posts/2019-12-08-Splitting-Zips/index 2.html b/posts/2019-12-08-Splitting-Zips/index 3.html
index ad7ea78..b3f2fca 100644
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-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><title>Splitting ZIPs into Multiple Parts | Navan Chauhan</title><meta name="twitter:title" content="Splitting ZIPs into Multiple Parts | Navan Chauhan"/><meta name="og:title" content="Splitting ZIPs into Multiple Parts | Navan Chauhan"/><meta name="description" content="Short code snippet for splitting zips."/><meta name="twitter:description" content="Short code snippet for splitting zips."/><meta name="og:description" content="Short code snippet for splitting zips."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Splitting ZIPs into Multiple Parts</h1><p><strong>Tested on macOS</strong></p><p>Creating the archive:</p><pre><code><div class="highlight"><span></span><span class="nt">zip</span><span class="na"> -r -s 5 oodlesofnoodles.zip website/</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-08-Splitting-Zips"/><title>Splitting ZIPs into Multiple Parts | Navan Chauhan</title><meta name="twitter:title" content="Splitting ZIPs into Multiple Parts | Navan Chauhan"/><meta name="og:title" content="Splitting ZIPs into Multiple Parts | Navan Chauhan"/><meta name="description" content="Short code snippet for splitting zips."/><meta name="twitter:description" content="Short code snippet for splitting zips."/><meta name="og:description" content="Short code snippet for splitting zips."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Splitting ZIPs into Multiple Parts</h1><p><strong>Tested on macOS</strong></p><p>Creating the archive:</p><pre><code><div class="highlight"><span></span><span class="nt">zip</span><span class="na"> -r -s 5 oodlesofnoodles.zip website/</span>
</div>
</code></pre><p>5 stands for each split files' size (in mb, kb and gb can also be specified)</p><p>For encrypting the zip:</p><pre><code><div class="highlight"><span></span><span class="nt">zip</span><span class="na"> -er -s 5 oodlesofnoodles.zip website</span>
diff --git a/posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html b/posts/2019-12-10-TensorFlow-Model-Prediction/index 3.html
index 5a31966..343bfb0 100644
--- a/posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html
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@@ -1,4 +1,4 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><title>Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan</title><meta name="twitter:title" content="Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan"/><meta name="og:title" content="Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan"/><meta name="description" content="Making predictions for image classification models built using TensorFlow"/><meta name="twitter:description" content="Making predictions for image classification models built using TensorFlow"/><meta name="og:description" content="Making predictions for image classification models built using TensorFlow"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 1 minute read.</span><h1>Making Predictions using Image Classifier (TensorFlow)</h1><p><em>This was tested on TF 2.x and works as of 2019-12-10</em></p><p>If you want to understand how to make your own custom image classifier, please refer to my previous post.</p><p>If you followed my last post, then you created a model which took an image of dimensions 50x50 as an input.</p><p>First we import the following if we have not imported these before</p><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">cv2</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-10-TensorFlow-Model-Prediction"/><title>Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan</title><meta name="twitter:title" content="Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan"/><meta name="og:title" content="Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan"/><meta name="description" content="Making predictions for image classification models built using TensorFlow"/><meta name="twitter:description" content="Making predictions for image classification models built using TensorFlow"/><meta name="og:description" content="Making predictions for image classification models built using TensorFlow"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 1 minute read.</span><h1>Making Predictions using Image Classifier (TensorFlow)</h1><p><em>This was tested on TF 2.x and works as of 2019-12-10</em></p><p>If you want to understand how to make your own custom image classifier, please refer to my previous post.</p><p>If you followed my last post, then you created a model which took an image of dimensions 50x50 as an input.</p><p>First we import the following if we have not imported these before</p><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">cv2</span>
<span class="kn">import</span> <span class="nn">os</span>
</div>
diff --git a/posts/2019-12-16-TensorFlow-Polynomial-Regression/index 2.html b/posts/2019-12-16-TensorFlow-Polynomial-Regression/index 3.html
index 1904a24..f42d4a2 100644
--- a/posts/2019-12-16-TensorFlow-Polynomial-Regression/index 2.html
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@@ -1,4 +1,4 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><title>Polynomial Regression Using TensorFlow | Navan Chauhan</title><meta name="twitter:title" content="Polynomial Regression Using TensorFlow | Navan Chauhan"/><meta name="og:title" content="Polynomial Regression Using TensorFlow | Navan Chauhan"/><meta name="description" content="Polynomial regression using TensorFlow"/><meta name="twitter:description" content="Polynomial regression using TensorFlow"/><meta name="og:description" content="Polynomial regression using TensorFlow"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 16 minute read.</span><h1>Polynomial Regression Using TensorFlow</h1><p><strong>In this tutorial you will learn about polynomial regression and how you can implement it in Tensorflow.</strong></p><p>In this, we will be performing polynomial regression using 5 types of equations -</p><ul><li>Linear</li><li>Quadratic</li><li>Cubic</li><li>Quartic</li><li>Quintic</li></ul><h2>Regression</h2><h3>What is Regression?</h3><p>Regression is a statistical measurement that is used to try to determine the relationship between a dependent variable (often denoted by Y), and series of varying variables (called independent variables, often denoted by X ).</p><h3>What is Polynomial Regression</h3><p>This is a form of Regression Analysis where the relationship between Y and X is denoted as the nth degree/power of X. Polynomial regression even fits a non-linear relationship (e.g when the points don't form a straight line).</p><h2>Imports</h2><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">tensorflow.compat.v1</span> <span class="kn">as</span> <span class="nn">tf</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-16-TensorFlow-Polynomial-Regression"/><title>Polynomial Regression Using TensorFlow | Navan Chauhan</title><meta name="twitter:title" content="Polynomial Regression Using TensorFlow | Navan Chauhan"/><meta name="og:title" content="Polynomial Regression Using TensorFlow | Navan Chauhan"/><meta name="description" content="Polynomial regression using TensorFlow"/><meta name="twitter:description" content="Polynomial regression using TensorFlow"/><meta name="og:description" content="Polynomial regression using TensorFlow"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 16 minute read.</span><h1>Polynomial Regression Using TensorFlow</h1><p><strong>In this tutorial you will learn about polynomial regression and how you can implement it in Tensorflow.</strong></p><p>In this, we will be performing polynomial regression using 5 types of equations -</p><ul><li>Linear</li><li>Quadratic</li><li>Cubic</li><li>Quartic</li><li>Quintic</li></ul><h2>Regression</h2><h3>What is Regression?</h3><p>Regression is a statistical measurement that is used to try to determine the relationship between a dependent variable (often denoted by Y), and series of varying variables (called independent variables, often denoted by X ).</p><h3>What is Polynomial Regression</h3><p>This is a form of Regression Analysis where the relationship between Y and X is denoted as the nth degree/power of X. Polynomial regression even fits a non-linear relationship (e.g when the points don't form a straight line).</p><h2>Imports</h2><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">tensorflow.compat.v1</span> <span class="kn">as</span> <span class="nn">tf</span>
<span class="n">tf</span><span class="o">.</span><span class="n">disable_v2_behavior</span><span class="p">()</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
diff --git a/posts/2019-12-22-Fake-News-Detector/index 2.html b/posts/2019-12-22-Fake-News-Detector/index 3.html
index c47ec61..a9dca16 100644
--- a/posts/2019-12-22-Fake-News-Detector/index 2.html
+++ b/posts/2019-12-22-Fake-News-Detector/index 3.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><title>Building a Fake News Detector with Turicreate | Navan Chauhan</title><meta name="twitter:title" content="Building a Fake News Detector with Turicreate | Navan Chauhan"/><meta name="og:title" content="Building a Fake News Detector with Turicreate | Navan Chauhan"/><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="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 6 minute read.</span><h1>Building a Fake News Detector with Turicreate</h1><p><strong>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</strong></p><p>Note: These commands are written as if you are running a jupyter notebook.</p><h2>Building the Machine Learning Model</h2><h3>Data Gathering</h3><p>To build a classifier, you need a lot of data. George McIntire (GH: @joolsa) has created a wonderful dataset containing the headline, body and wheter it is fake or real. Whenever you are looking for a dataset, always try searching on Kaggle and GitHub before you start building your own</p><h3>Dependencies</h3><p>I used a Google Colab instance for training my model. If you also plan on using Google Colab then I reccomend choosing a GPU Instance (It is Free) This allows you to train the model on the GPU. Turicreat is built on top of Apache's MXNet Framework, for us to use GPU we need to install a CUDA compatible MXNet package.</p><pre><code><div class="highlight"><span></span><span class="nt">!pip</span><span class="na"> install turicreate</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-22-Fake-News-Detector"/><title>Building a Fake News Detector with Turicreate | Navan Chauhan</title><meta name="twitter:title" content="Building a Fake News Detector with Turicreate | Navan Chauhan"/><meta name="og:title" content="Building a Fake News Detector with Turicreate | Navan Chauhan"/><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="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 6 minute read.</span><h1>Building a Fake News Detector with Turicreate</h1><p><strong>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</strong></p><p>Note: These commands are written as if you are running a jupyter notebook.</p><h2>Building the Machine Learning Model</h2><h3>Data Gathering</h3><p>To build a classifier, you need a lot of data. George McIntire (GH: @joolsa) has created a wonderful dataset containing the headline, body and wheter it is fake or real. Whenever you are looking for a dataset, always try searching on Kaggle and GitHub before you start building your own</p><h3>Dependencies</h3><p>I used a Google Colab instance for training my model. If you also plan on using Google Colab then I reccomend choosing a GPU Instance (It is Free) This allows you to train the model on the GPU. Turicreat is built on top of Apache's MXNet Framework, for us to use GPU we need to install a CUDA compatible MXNet package.</p><pre><code><div class="highlight"><span></span><span class="nt">!pip</span><span class="na"> install turicreate</span>
<span class="na">!pip uninstall -y mxnet</span>
<span class="na">!pip install mxnet-cu100==1.4.0.post0</span>
</div>
diff --git a/posts/2020-01-14-Converting-between-PIL-NumPy/index 2.html b/posts/2020-01-14-Converting-between-PIL-NumPy/index 3.html
index 9e21e26..77a91e7 100644
--- a/posts/2020-01-14-Converting-between-PIL-NumPy/index 2.html
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@@ -1,4 +1,4 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><title>Converting between image and NumPy array | Navan Chauhan</title><meta name="twitter:title" content="Converting between image and NumPy array | Navan Chauhan"/><meta name="og:title" content="Converting between image and NumPy array | Navan Chauhan"/><meta name="description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="twitter:description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="og:description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Converting between image and NumPy array</h1><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">numpy</span>
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2020-01-14-Converting-between-PIL-NumPy"/><title>Converting between image and NumPy array | Navan Chauhan</title><meta name="twitter:title" content="Converting between image and NumPy array | Navan Chauhan"/><meta name="og:title" content="Converting between image and NumPy array | Navan Chauhan"/><meta name="description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="twitter:description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="og:description" content="Short code snippet for converting between PIL image and NumPy arrays."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Converting between image and NumPy array</h1><pre><code><div class="highlight"><span></span><span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">import</span> <span class="nn">PIL</span>
<span class="c1"># Convert PIL Image to NumPy array</span>
diff --git a/posts/hello-world/index 2.html b/posts/hello-world/index 3.html
index f581dcf..f9f8f79 100644
--- a/posts/hello-world/index 2.html
+++ b/posts/hello-world/index 3.html
@@ -1 +1 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/hello-world"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/hello-world"/><meta name="og:url" content="https://navanchauhan.github.io/posts/hello-world"/><title>Hello World | Navan Chauhan</title><meta name="twitter:title" content="Hello World | Navan Chauhan"/><meta name="og:title" content="Hello World | Navan Chauhan"/><meta name="description" content="My first post."/><meta name="twitter:description" content="My first post."/><meta name="og:description" content="My first post."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Hello World</h1><p><strong>Why a Hello World post?</strong></p><p>Just re-did the entire website using Publish (Publish by John Sundell). So, a new hello world post :)</p></div><span>Tagged with: </span><ul class="tag-list"><li><a href="/tags/helloworld">hello-world</a></li><li><a href="/tags/article">article</a></li></ul></article></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html> \ No newline at end of file
+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/hello-world"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/hello-world"/><meta name="og:url" content="https://navanchauhan.github.io/posts/hello-world"/><title>Hello World | Navan Chauhan</title><meta name="twitter:title" content="Hello World | Navan Chauhan"/><meta name="og:title" content="Hello World | Navan Chauhan"/><meta name="description" content="My first post."/><meta name="twitter:description" content="My first post."/><meta name="og:description" content="My first post."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">🕑 0 minute read.</span><h1>Hello World</h1><p><strong>Why a Hello World post?</strong></p><p>Just re-did the entire website using Publish (Publish by John Sundell). So, a new hello world post :)</p></div><span>Tagged with: </span><ul class="tag-list"><li><a href="/tags/helloworld">hello-world</a></li><li><a href="/tags/article">article</a></li></ul></article></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html> \ No newline at end of file
diff --git a/posts/index 2.html b/posts/index 2.html
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-<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts"/><meta name="og:url" content="https://navanchauhan.github.io/posts"/><title>Posts | Navan Chauhan</title><meta name="twitter:title" content="Posts | Navan Chauhan"/><meta name="og:title" content="Posts | Navan Chauhan"/><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."/><meta name="og:description" content="Welcome to my personal fragment of the internet."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="./assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><h1>Posts</h1><p>Tips, tricks and tutorials which I think might be useful.</p><ul class="item-list"><li><article><h1><a href="/posts/2019-12-08-Image-Classifier-Tensorflow">Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/colab">colab</a></li></ul><span>🕑 4 minute read.</span><p>Tutorial on creating an image classifier model using TensorFlow which detects malaria</p></article></li><li><article><h1><a href="/posts/2019-12-08-Splitting-Zips">Splitting ZIPs into Multiple Parts</a></h1><ul class="tag-list"><li><a href="/tags/codesnippet">code-snippet</a></li><li><a href="/tags/tutorial">tutorial</a></li></ul><span>🕑 0 minute read.</span><p>Short code snippet for splitting zips.</p></article></li><li><article><h1><a href="/posts/2019-12-10-TensorFlow-Model-Prediction">Making Predictions using Image Classifier (TensorFlow)</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/codesnippet">code-snippet</a></li></ul><span>🕑 1 minute read.</span><p>Making predictions for image classification models built using TensorFlow</p></article></li><li><article><h1><a href="/posts/2019-12-16-TensorFlow-Polynomial-Regression">Polynomial Regression Using TensorFlow</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/colab">colab</a></li></ul><span>🕑 16 minute read.</span><p>Polynomial regression using TensorFlow</p></article></li><li><article><h1><a href="/posts/2019-12-22-Fake-News-Detector">Building a Fake News Detector with Turicreate</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/colab">colab</a></li><li><a href="/tags/swiftui">swiftUI</a></li><li><a href="/tags/turicreate">turicreate</a></li></ul><span>🕑 6 minute read.</span><p>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</p></article></li><li><article><h1><a href="/posts/2020-01-14-Converting-between-PIL-NumPy">Converting between image and NumPy array</a></h1><ul class="tag-list"><li><a href="/tags/codesnippet">code-snippet</a></li><li><a href="/tags/tutorial">tutorial</a></li></ul><span>🕑 0 minute read.</span><p>Short code snippet for converting between PIL image and NumPy arrays.</p></article></li><li><article><h1><a href="/posts/hello-world">Hello World</a></h1><ul class="tag-list"><li><a href="/tags/helloworld">hello-world</a></li><li><a href="/tags/article">article</a></li></ul><span>🕑 0 minute read.</span><p>My first post.</p></article></li></ul></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html> \ No newline at end of file
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+<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts"/><meta name="og:url" content="https://navanchauhan.github.io/posts"/><title>Posts | Navan Chauhan</title><meta name="twitter:title" content="Posts | Navan Chauhan"/><meta name="og:title" content="Posts | Navan Chauhan"/><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."/><meta name="og:description" content="Welcome to my personal fragment of the internet."/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><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"/></head><head><script src="https://www.googletagmanager.com/gtag/js?id=UA-108635191-1v"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'UA-108635191-1');</script></head><body><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li></ul></nav></div></header><div class="wrapper"><h1>Posts</h1><p>Tips, tricks and tutorials which I think might be useful.</p><ul class="item-list"><li><article><h1><a href="/posts/2019-12-08-Image-Classifier-Tensorflow">Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/colab">colab</a></li></ul><span>🕑 4 minute read.</span><p>Tutorial on creating an image classifier model using TensorFlow which detects malaria</p></article></li><li><article><h1><a href="/posts/2019-12-08-Splitting-Zips">Splitting ZIPs into Multiple Parts</a></h1><ul class="tag-list"><li><a href="/tags/codesnippet">code-snippet</a></li><li><a href="/tags/tutorial">tutorial</a></li></ul><span>🕑 0 minute read.</span><p>Short code snippet for splitting zips.</p></article></li><li><article><h1><a href="/posts/2019-12-10-TensorFlow-Model-Prediction">Making Predictions using Image Classifier (TensorFlow)</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/codesnippet">code-snippet</a></li></ul><span>🕑 1 minute read.</span><p>Making predictions for image classification models built using TensorFlow</p></article></li><li><article><h1><a href="/posts/2019-12-16-TensorFlow-Polynomial-Regression">Polynomial Regression Using TensorFlow</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/tensorflow">tensorflow</a></li><li><a href="/tags/colab">colab</a></li></ul><span>🕑 16 minute read.</span><p>Polynomial regression using TensorFlow</p></article></li><li><article><h1><a href="/posts/2019-12-22-Fake-News-Detector">Building a Fake News Detector with Turicreate</a></h1><ul class="tag-list"><li><a href="/tags/tutorial">tutorial</a></li><li><a href="/tags/colab">colab</a></li><li><a href="/tags/swiftui">swiftUI</a></li><li><a href="/tags/turicreate">turicreate</a></li></ul><span>🕑 6 minute read.</span><p>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</p></article></li><li><article><h1><a href="/posts/2020-01-14-Converting-between-PIL-NumPy">Converting between image and NumPy array</a></h1><ul class="tag-list"><li><a href="/tags/codesnippet">code-snippet</a></li><li><a href="/tags/tutorial">tutorial</a></li></ul><span>🕑 0 minute read.</span><p>Short code snippet for converting between PIL image and NumPy arrays.</p></article></li><li><article><h1><a href="/posts/hello-world">Hello World</a></h1><ul class="tag-list"><li><a href="/tags/helloworld">hello-world</a></li><li><a href="/tags/article">article</a></li></ul><span>🕑 0 minute read.</span><p>My first post.</p></article></li></ul></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html> \ No newline at end of file