2022-11-26
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Coursera Deep Learning Specialization Notes

3 mins read A couple of years ago I completed Deep Learning Specialization taught by AI pioneer Andrew Ng. I found this series […]
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2022-07-19
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Understanding Deep U-Nets for Semantic Segmentation: A salt identification case study with Keras

19 mins read Introduction Deep Learning has enabled the field of Computer Vision to advance rapidly in the last few years. In this […]
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2022-07-19
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Understanding Transposed Convolution with Python example

25 mins read Transposed Convolutions is a revolutionary concept for applications like image segmentation, super-resolution, etc but sometimes it becomes a little trickier […]
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2020-11-18
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Basics of Convolutional Neural Networks (CNN) from Deep Learning specialization

8 mins read These notes are taken from the first two weeks of the Convolutional Neural Networks course (part of Deep Learning specialization) by Andrew Ng […]
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2020-05-20
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Guidelines to use Transfer Learning in Convolutional Neural Networks

9 mins read Transfer Learning How to adapt an expert’s CNN architecture that has already learned so much about how to find the […]
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2020-05-02
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Kalman Filter Simply Explained

5 mins read Let’s start with what a Kalman filter is: It’s a method of predicting the future state of a system based […]
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2020-01-15
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Understanding Object Detection using YOLO with Python implementation

21 mins read Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]
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2020-01-14
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Understanding the fundamentals of Deep Learning and Convolution Neural Networks with Keras codes

55 mins read Introduction Did you know the first neural network was discovered in the early 1950s? Deep Learning (DL) and Neural Network […]
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2020-01-13
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RCNN, Fast RCNN, and faster RCNN algorithms for Object Detection Explained

23 mins read Table of Contents A Simple Way of Solving an Object Detection Task (using Deep Learning) Understanding Region-Based Convolutional Neural Networks […]
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2020-01-02
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A tutorial on Histogram of Oriented Gradients (HOG) Feature Descriptor in Computer Vision with Python code

17 mins read Introduction Feature engineering is a game-changer in the world of machine learning algorithms. It’s actually one of my favorite aspects […]
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2019-12-31
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Hough Transform implementation in Python

6 mins read The Hough transform (Duda and Hart, 1972), which started out as a technique to detect lines in an image, has been […]
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2019-12-31
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A tutorial on Hough Transform

16 mins read Basics The Hough transform is an incredible tool that lets you identify lines. Not just lines, but other shapes as […]
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2019-12-31
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What are frequencies in images?

8 mins read Frequency means the rate of change of something. In one-dimensional signals like the electrical voltage, frequencies are the rate of […]
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2019-12-30
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Understanding Fourier Transform in images

11 mins read Table of Contents cv2 and mss basic Image Fourier Transform – Introduction and Basics Image Fourier Transform – Fourier Transform […]
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2019-12-16
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A tutorial on Motion Estimation with Optical Flow with Python Implementation

26 mins read Recent breakthroughs in computer vision research have allowed machines to perceive their surrounding world through techniques such as object detection for detecting […]
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