An explainer about the key features of the Cardano blockchain — In this article, I will explain the basic concepts of the Cardano blockchain. If you prefer videos over articles, then you can check out this video that I made explaining the concepts of Cardano. Choosing the right cryptocurrency to invest in is as important as choosing the right life partner…

Introduction to Zero Code TensorFlow Image Classification — Before understanding how to train a classifier without writing any code, let us first understand the motivation behind creating this project. Training an image classifier is a non-trivial task and requires a deep understanding of Computer Vision and Python programming. However, it is not necessary that everyone entering the field…

An in-depth analysis of various activation functions used in deep learning — If you have ever attended a lecture or read a book about deep learning, then you must have heard the term “activation functions”. Understanding how various activation functions work and why we use them will help you in building an intuition for solving deep learning problems. In this article, I…

A comprehensive guide for understanding the functioning of the OpenVINO toolkit OpenVINO stands for Open Visual Inference and Neural Network Optimization. It is a toolkit provided by Intel to facilitate faster inference of deep learning models. It helps developers to create cost-effective and robust computer vision applications. It enables deep…

Illustration of the FaceNet research paper Facial recognition is one of the most exciting applications of deep learning. The rise in the adoption of facial recognition systems has been phenomenal in recent years; however, it came under a lot of scrutiny lately. …

Build and deploy an image classifier using fast.ai and Render — Computer vision is ubiquitous and it has tons of real-life applications like object detection, face recognition, face verification, image classification, etc. and if you are interested in learning these concepts, but are not sure where to start, then don’t worry there are lots of people out there facing the same…

A gentle introduction to the scientific field of machine learning with no math involved — Machine learning is one of the most vaguely described terms of the 21st century. The biggest reason for its ambiguous description is that it is a multi-disciplinary field and it borrows concepts from various fields: statistics, probability, linear algebra, computer programming, etc. In this article, I will mainly focus on…

A geometrical study of SVM — This is my second article of the Demystifying series. You can check out the first article here — Demystifying Logistic Regression A geometrical study of Logistic Regressiontowardsdatascience.com In this article, I will focus on Support Vector Machines or SVM. It is one of the most popular machine learning algorithms and it enjoyed its Numero Uno status for almost a…

A geometrical study of Logistic Regression — Logistic Regression is one of the most popular classification techniques. In most of the tutorials and articles, people usually explain the probabilistic interpretation of Logistic Regression. So in this article, I will try to give the geometric intuition of Logistic Regression. …