May 20, 2020

Transfer Learning in Convolutional Neural Networks simply explained

Transfer learning involves taking a pre-trained neural network and adapting the neural network to a new, different data set. Depending […]
May 2, 2020

Kalman Filter Simply Explained

Let’s start from what a Kalman filter is: It’s a method of predicting the future state of a system based […]
January 15, 2020

Object Detection using YOLO

Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]
January 14, 2020

Fundamentals of Deep Learning

Introduction Did you know the first neural network was discovered in early 1950s ? Deep Learning (DL) and Neural Network […]
January 13, 2020

RCNN, fast RCNN, and faster RCNN algorithms for Object Detection Explained

Table of Contents A Simple Way of Solving an Object Detection Task (using Deep Learning) Understanding Region-Based Convolutional Neural Networks […]
January 2, 2020

Histogram of Oriented Gradients Feature Descriptor

Introduction Feature engineering is a game-changer in the world of machine learning algorithms. It’s actually one of my favorite aspects […]
December 31, 2019

Hough Transform Implementation With Python

The Hough transform (Duda and Hart, 1972), which started out as a technique to detect lines in an image, has been […]
December 31, 2019

Hough Transform

The Hough Transform The Basics Series: The Hough Transform: The Basics The Normal form The Hough transform is an incredible […]