This tutorial will serve as a crash course to dlib library. Dlib library is another powerful computer vision library out there. It is not as extensive as OpenCV but still, there is a lot you can do...
You can Watch Video Version of this post below https://www.youtube.com/watch?v=trKYJX43OMY&t=24s In today’s post, we’ll go through a very basic high-level overview of the Computer Vision field....
Ever heard the term ‘Computer vision’ and wondered what it is? Or did you ever wanted to learn how different industries are utilizing computer vision technologies or perhaps you’re just curious about different subdomains in computer vision and want to expand your understanding in this field? Well, today we’re introducing a new video-based course that covers all that and much more called Computer Vision For Everyone.
We’re publishing a 4 part tutorial/video series on AI as part of our CVFE course, we will focus on giving you a thorough understanding of the artificial intelligence field with these 4 tutorials. Each tutorial is distributed into different levels, on each level we’ll cover some explanation of AI. And on each subsequent level, the explanations will get more technical.
Today’s Video tutorial is the one I wish I had access to when I was starting out in OpenCV, in this video I reveal to you some very interesting information about the opencv including great tips regarding when to find the right resources, tutorials for the library. I’ll start by briefly going over the history of OpenCV and then talk about other exciting topics.
In this post, we’ll go over the history of AI from 1950 – till the present, and finally, understand what popular terms like machine learning and deep learning actually mean in simple words and how they came about.
In this post, we will see what exactly the three core branches of machine learning i.e., Supervised Learning, Unsupervised Learning, and Reinforcement Learning are, in detail with examples for each one of them.
In this post, you will first learn about some interesting hybrid branches (Semi-Supervised Learning and Self-Supervised Learning) of AI, AI industries etc.
