Introduction Supervised Contrastive Learning paper claims a big deal about supervised learning and cross-entropy loss vs supervised contrastive loss for better image representation and …
Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15 …
Introduction Hey there! Just finished another deep learning project several hours ago, now I want to share what I actually did there. So the …
Introduction In this article, we will be taking a deep dive into an interesting algorithm known as “Seam Carving”. It does a seemingly impossible …
Introduction In the corona days (still not over) I would walk near my house for an hour a day and come back home. One …
Introduction Easy way to build a video face detection app that detects and recognizes happiness in your computer’s camera using OpenCV in Python Face …
Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, …
Overview In this article, I would give you an overview of sequence to sequence models which became quite popular for different tasks like machine …
Introduction Object detection is a tremendously important field in computer vision needed for autonomous driving, video surveillance, medical applications, and many other fields. We …
Introduction The human brain can easily recognize and distinguish the objects in an image. For instance, given the image of a cat and dog, …
