A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
Introduction Which algorithm do you use for object detection tasks? I have tried out quite a few of them in my quest to build …
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An Introductory Guide to Deep Learning and Neural Networks (Notes from deeplearning.ai Course #1)
This is a comprehensive introduction to the world of deep learning and neural networks. These are essentially course notes from deeplearning.ai’s course #1.
A Step-by-Step Introduction to the Basic Object Detection Algorithms (Part 1)
Object detection is seeing widespread adoption in today’s world in diverse applications. In part 1 of this series, we’ll learn the basics of the technique.
Let’s Think in Graphs: Introduction to Graph Theory and its Applications using Python
Graph theory has been around for decades. This article looks at it’s fascinating history and delves deeper into the wonderful world of graphs.
Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)
We’ve seen plenty of image classification examples, but what about videos? In this article, we will show you how to use deep learning with video data.
The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)
Dimensionality reduction Techniques : PCA, Factor Analysis, ICA, t-SNE, Random Forest, ISOMAP, UMAP, Forward and Backward feature selection.
Comprehensive Guide to build a Recommendation Engine from scratch (in Python)
Introduction In today’s world, every customer is faced with multiple choices. For example, If I’m looking for a book to read without any specific idea …
