<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 08 Apr 2026 00:07:10 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/@aquib/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[Word2vec from scratch in Python]]></title><description><![CDATA[Word2Vec is a method used for creating word embeddings. Word embedding is a feature engineering technique used in NLP where words or phrases from a vocabulary mapped to a vector of real numbers. Word2Vec]]></description><link>http://direct.ecency.com/nlp/@aquib/word2vec-from-scratch-in-python</link><guid isPermaLink="true">http://direct.ecency.com/nlp/@aquib/word2vec-from-scratch-in-python</guid><category><![CDATA[nlp]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Tue, 16 Oct 2018 12:41:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/k75bsZMwYNtze9xHvT6xWCdz7q3QGD35ZKdaPpVrFksWkHMTdTpespj33nsUNR88hiwbduMvsm8AfexHPkXFk1wHjeKACMNoVgiC8CKdasVthZF3cQA55BQiQ4Dz9DbyAYgRqaftdUnxMYBMEu6TRRJmmrw6WKjyG?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Daily inspiration]]></title><description><![CDATA[A few days back I finished reading a book "Man's Search for Meaning" and I would like to share few but very powerful quotes from the book: “Everything can be taken from a man but one thing: the]]></description><link>http://direct.ecency.com/life/@aquib/daily-inspiration-quotes-from-books</link><guid isPermaLink="true">http://direct.ecency.com/life/@aquib/daily-inspiration-quotes-from-books</guid><category><![CDATA[life]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Mon, 16 Apr 2018 05:29:54 GMT</pubDate></item><item><title><![CDATA[object detection]]></title><description><![CDATA[Background subtraction is a major preprocessing steps in many vision based applications. For example, consider the cases like visitor counter where a static camera takes the number of visitors entering]]></description><link>http://direct.ecency.com/machinelearning/@aquib/urqljv42</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@aquib/urqljv42</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Wed, 17 Jan 2018 16:08:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM8HVoKu4CRjqzUeP8C5z1McNSqHK1tWNuzPnHxnAudHMtnttkPXvbrCiptcHW?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Part 2: Smile Recognition using TensoFlow, Opencv in real video feed]]></title><description><![CDATA[Hello World! This is going to be the second and final part of smile recognition in real time, In the first part, I explained about how to train logistic/softmax regression model using TensorFlow, to predict]]></description><link>http://direct.ecency.com/science/@aquib/part-2-smile-recognition-using-tensoflow-opencv-in-real-video-feed</link><guid isPermaLink="true">http://direct.ecency.com/science/@aquib/part-2-smile-recognition-using-tensoflow-opencv-in-real-video-feed</guid><category><![CDATA[science]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Sun, 03 Dec 2017 17:58:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/3jpR3paJ37V8t3d5gG8YxUrFtTrvhgCDjjN8jFs76SJ4v9M7GvsqQu1igRcXGeHw5m75YDVQZwFsyFXBtrmboJRJ2mDigpm2FnZGdKaLNY1AEtuZUKrkmUo9Dg2bGhw49uFo4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Object detection using background subtraction]]></title><description><![CDATA[There are plenty of methods to make an object detection like Haarcascade, HoG and most advanced are FAST-RCNN. In this blog I would like to present an Idea to do object detection (moving object detection)]]></description><link>http://direct.ecency.com/science/@aquib/object-detection-using-background-subtraction</link><guid isPermaLink="true">http://direct.ecency.com/science/@aquib/object-detection-using-background-subtraction</guid><category><![CDATA[science]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Tue, 14 Nov 2017 15:55:30 GMT</pubDate></item><item><title><![CDATA[A day in Pondicherry - A bit of france]]></title><description><![CDATA[Just wanted to share an experience of a trip which we took yesterday, It was nice! I love to travel on a rainy or cloudy day. I just insist them to come with me. It was Saturday morning wake up at around]]></description><link>http://direct.ecency.com/life/@aquib/a-day-in-pondicherry-a-bit-of-france</link><guid isPermaLink="true">http://direct.ecency.com/life/@aquib/a-day-in-pondicherry-a-bit-of-france</guid><category><![CDATA[life]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Sun, 05 Nov 2017 13:07:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/3jpR3paJ37V8t3d5gG8YxUrFtTrvhgCDjjN8jFs77sEAA56CB1WvE9GwgKByMbvFMaW2cGABBzHWFdJh8aeFyNTyTTbSv2CaVmokRCjJTK54o1Nug5288GVvXLMaNghQtogWS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Face recognition using OpenCV and Python]]></title><description><![CDATA[Hello World! Hope everything is well at your end.. If not! and you are stuck with something like making your own face recognition system or just you want to implement few algorithms to do some task like]]></description><link>http://direct.ecency.com/machinelearning/@aquib/face-recognition-using-opencv-and-python</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@aquib/face-recognition-using-opencv-and-python</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Fri, 03 Nov 2017 09:18:27 GMT</pubDate></item><item><title><![CDATA[Smile Recognition using TensoFlow, Opencv]]></title><description><![CDATA[Hello World! In this post, I am going to explain about how to train logistic/softmax regression model using TensorFlow, to predict if the input is a neutral face or smiling face. About the dataset, I collected]]></description><link>http://direct.ecency.com/computervision/@aquib/smile-recognition-using-tensoflow-opencv</link><guid isPermaLink="true">http://direct.ecency.com/computervision/@aquib/smile-recognition-using-tensoflow-opencv</guid><category><![CDATA[computervision]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Sun, 29 Oct 2017 12:31:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/6KincH1mMRDFNmZRweRnXig1x2BExK9iC6ngv5yrLqxi3Jrsjh2msjwixNmHqRw7J2oL2mSTz1daqpUUMTWGUSzm2BY3gYPcWiVGCgpk2bswVhMzGm3bEFuXfrj3ftwsCSPT5fNrcTnUTDB7Q93mwowpDDE4feopt6iSwTKzBYjVb24DAFU3q8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Installing Caffe on Ubuntu 16.04]]></title><description><![CDATA[Hi everyone, In this post, I would like to show how to build Caffe a deep learning framework, developed by Berkeley AI Research. System configuration: Ubuntu 16.04, CPU AMD A4 processor. Why I am writing]]></description><link>http://direct.ecency.com/caffe/@aquib/installing-caffe-on-ubuntu-16-04</link><guid isPermaLink="true">http://direct.ecency.com/caffe/@aquib/installing-caffe-on-ubuntu-16-04</guid><category><![CDATA[caffe]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Mon, 23 Oct 2017 19:31:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/MG5aEqKFcQi5TAehpSUyJs938iiNm8ZvUsuRztfSFeKDmMy6kVFwK8QGLhXhRsC2uPw6Wgd4Voj6dnL4rmcvHhEh9geTazEe9?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hello World]]></title><description><![CDATA[Hello Everyone, My name is Aquib Javed Khan from India, and I am not a good storyteller.. please bear with me! Since this is my very first blog, I will introduce myself very briefly. I am passionate about]]></description><link>http://direct.ecency.com/introduceyourself/@aquib/hello-world</link><guid isPermaLink="true">http://direct.ecency.com/introduceyourself/@aquib/hello-world</guid><category><![CDATA[introduceyourself]]></category><dc:creator><![CDATA[aquib]]></dc:creator><pubDate>Sat, 21 Oct 2017 20:41:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/JvFFVmatwWHVQPjDcGkFxELgGtwNAntRtiqDuEyxy3S7d664eCtifC18fCpavsLbbeSJq4xnbAXCvd5yDHchjgQY5oX9anoZyFUbNuw2WjznaGJg1mEa8xoTjYQha47MadBh5Dj8Rk?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>