Introduction In the ever-evolving landscape of artificial intelligence, staying updated with the latest breakthroughs is paramount. September 2023 has been a testament to the relentless pursuit of ...
Top 5 AI papers of August 2023
Introduction In the ever-evolving landscape of artificial intelligence, staying updated with the latest breakthroughs is essential. In this article, we will cover the Top 5 AI papers of August ...
Top 5 AI papers of July 2023
Introduction Welcome to our latest series of blog posts about artificial intelligence (AI) and machine learning (ML)! Whether you're a beginner dipping your toes into the AI pool for the first time ...
t-SNE: T-Distributed Stochastic Neighbor Embedding Explained
Visualizing training data is often essential to design a good Machine Learning model. However, generally feature dimensions are much more than three. So to get visual insight, dimensionality reduction ...
Document Segmentation Using Deep Learning in PyTorch
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
Mean Average Precision (mAP) in Object Detection
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
