Non-maximum suppression (NMS) is a post-processing technique that is used in object detection tasks to eliminate duplicate detections and select bounding boxes.
A plethora of cost-effective machine learning solutions put the power of these tools at your fingertips. Our expert shares some ways small business owners can take advantage of them.
Beam search is an approximate search algorithm with applications in natural language processing and many other fields. Our expert explains how it works.
Forward chaining and backward chaining are two approaches to designing an expert system for AI that help you solve complex problems. Learn how they work.
Because of its its fast convergence and robustness across problems, the Adam optimization algorithm is the default algorithm used for deep learning. Our expert explains how it works.
