Deep Learning with Yacine on MSN
Adadelta optimizer explained – Python tutorial for beginners & pros
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
This project provides a complete local workflow for labeling, training, and running a YOLO-based object detection model using datasets annotated with Label Studio. aircraft-detection/ ├─ dataset/ │ ├─ ...
Ultralytics YOLO11 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and ...
Abstract: Surveillance, crowd management, and person tracking are major problems. This research work describes the process of counting and identifying people in real-world scenarios, as well as ...
Abstract: With recent technological developments, object detection has become an important component of many computer vision applications, such as autonomous driving, image recognition, unmanned ...
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