
RetinaNet: Single-Stage Object Detector with Accuracy Focus
RetinaNet is a single-stage object detector that uses Focal Loss and two task-specific sub-networks for object detection.
RetinaNet is a single-stage object detector that uses Focal Loss and two task-specific sub-networks for object detection.
Explore the decision tree algorithm and enhance your Python skills with step-by-step instructions in this comprehensive guide.
Object and image localization in computer vision: enabling machines to detect and accurately pinpoint objects in images.
With the advancement of Deep Learning (DL), the invention of Visual Question Answering (VQA) has become possible. VQA has recently become popular among the computer
Model drift can degrade a model’s performance. Learn about the differences between concept drift vs data drift and mitigation strategies.
Gradient descent is based on a gradual, iterative approach to solving the problem of a function’s minimization.
Knowledge Graph is a knowledge base that uses graph data structure to store and operate on the data. It powers applications such as Google
MLflow is an open-source platform that helps streamline the ML process and helps solve incurred challenges with model experimentation.
Learn the ins and outs of Kaggle, including finding useful datasets for ML projects and partaking in competitions.
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