<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Aws-Lambda on Drentin's Findings</title><link>https://drentin.au/tags/aws-lambda/</link><description>Recent content in Aws-Lambda on Drentin's Findings</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 24 Sep 2021 01:00:00 +1000</lastBuildDate><atom:link href="https://drentin.au/tags/aws-lambda/index.xml" rel="self" type="application/rss+xml"/><item><title>ML with an AWS DeepLens: Is it あ? Yes it is!</title><link>https://drentin.au/posts/is-it-a-yes/</link><pubDate>Fri, 24 Sep 2021 01:00:00 +1000</pubDate><guid>https://drentin.au/posts/is-it-a-yes/</guid><description>&lt;p&gt;Starting last week I felt like I was ready to jump into attempting to work off the knowledge I had built up doing the examples previously and attempt the main goal: to create a model that was capable of recognising some of the Japanese Hiragana character set.&lt;/p&gt;
&lt;h1 id="problem---input-data"&gt;Problem - Input Data!&lt;/h1&gt;
&lt;p&gt;My initial problem that I had been playing with was the idea of a training data set - where would I get a good set of training data from?&lt;/p&gt;</description></item></channel></rss>