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How to evaluate models, measure model accuracy and performance, and how to different compare computer vision models effectively.
Learn about the latest autoencoder models and how they work. Discover different types of autoencoders and their real-world applications.
How low-code AI platforms will fundamentally change Computer Vision and dramatically simplify the delivery of AI vision technology.
OpenCV (Open Source Computer Vision) is a software library developed by Intel. Here is a practical Guide and a list of exciting applications.
Vision Transformers (ViT) brought recent breakthroughs in Computer Vision achieving state-of-the-art accuracy with better efficiency.
Learn about self-supervised learning: What it is, examples and methods for computer vision. Fewer labels and smaller samples as new standard?
Easy-to-understand guide about Deep Reinforcement Learning. How it works, examples, and real-world applications of AI based decision-making.
Differences, advantages, and practical examples of supervised and unsupervised learning methods – Learn when to use which.
An easy-to-read guide about what makes YOLOv7 the fastest and most accurate object detection algorithm, with real-world examples.
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