Difficult! Isn’t it? Image segmentation is a bit challenging as well as very exciting problem to solve. It is one of the most critical applications in the field of computer vision. Various industrial applications like medical, aerial imagery, etc are powered by image segmentation. In this series of posts, you will be learning about how to solve and build solutions to the problem using Deep learning. Continue reading
Do you think, when you train a Convolutional Neural Network (CNN) to classify between images it is exactly understanding the image as we humans perceive? It’s difficult to answer, as for most of the times Deep learning models are often considered to be a black box. We feed in the data and then we get the output. Whatever happens in between this flow is very difficult to debug. Though we get the accurate predictions, it may not be true that they are intelligent enough to perceive the same way as we do. Continue reading
Hi all, In this post, I’m going to review the most comprehensive book I’ve ever read, for mastering deep learning and computer vision. The review is entirely based on my experience and how I felt about the book. So let’s dive in.
Hello, all! I hope you got excited by the title itself. What if I tell you that building a face recognition system is not so difficult? Yes, it is, and of course very exciting. Let’s build a complete face recognition system which enables you to enroll a new candidate into the system and perform recognition with higher accuracy!