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

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

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

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

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)

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

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

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

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

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