<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MXnet | Tuhin Sharma</title><link>https://tuhinsharma.netlify.app/tags/mxnet/</link><atom:link href="https://tuhinsharma.netlify.app/tags/mxnet/index.xml" rel="self" type="application/rss+xml"/><description>MXnet</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Feb 2018 14:15:00 +0000</lastBuildDate><image><url>https://tuhinsharma.netlify.app/media/icon_hu55b84836e614877e119cbfa37f6d5a66_1386708_512x512_fill_lanczos_center_3.png</url><title>MXnet</title><link>https://tuhinsharma.netlify.app/tags/mxnet/</link></image><item><title>Logo detection using Apache MXNet</title><link>https://tuhinsharma.netlify.app/blogs/logo-mxnet/</link><pubDate>Thu, 01 Feb 2018 14:15:00 +0000</pubDate><guid>https://tuhinsharma.netlify.app/blogs/logo-mxnet/</guid><description>&lt;h2>Description&lt;/h2>
&lt;p>Given an image, identify which company&amp;rsquo;s logo is present.&lt;/p>
&lt;p>The article will motivate the business problem, how to get data, how to use MXNet to build the deep learning model&lt;/p>
&lt;p>&lt;a href="https://www.oreilly.com/ideas/logo-detection-using-apache-mxnet">&lt;p>&lt;strong>Read more..&lt;/strong>&lt;/p>&lt;/a>&lt;/p></description></item><item><title>Uncovering hidden patterns through machine learning</title><link>https://tuhinsharma.netlify.app/blogs/fizzbuzz-mxnet/</link><pubDate>Thu, 21 Dec 2017 14:15:00 +0000</pubDate><guid>https://tuhinsharma.netlify.app/blogs/fizzbuzz-mxnet/</guid><description>&lt;h2>Description&lt;/h2>
&lt;p>FizzBuzz problem was made popular by Joel Grus&amp;rsquo; &lt;a href="https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/">post&lt;/a> on tensorflow. This article shows how to model fizzbuzz using MXNet. This article shows how to use the basic building blocks of MXNet (autograd etc.) to build a network from scratch. It then goes to show how to use higher level APIs in MXNet to achieve the same.&lt;/p>
&lt;p>&lt;a href="https://www.oreilly.com/radar/uncovering-hidden-patterns-through-machine-learning/">&lt;p>&lt;strong>Read more..&lt;/strong>&lt;/p>&lt;/a>&lt;/p></description></item></channel></rss>