Jan 12 · 4 min read · Computer Vision is one of the most exciting fields in Artificial Intelligence. It allows machines to see, understand, and make decisions from images and videos — just like humans do. From face recognition and medical imaging to self-driving cars and ...
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Dec 4, 2025 · 2 min read · In the world of Artificial Intelligence, Convolutional Neural Networks (CNNs) have become a cornerstone for processing images, videos, and pattern recognition tasks. Whether you’re a beginner or a developer trying to understand how this technology wo...
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Oct 18, 2025 · 2 min read · 📖 Ever wondered how AI recognises faces, reads signs, or detects objects in photos?That’s the magic of Convolutional Neural Networks (CNNs) — the model that revolutionised computer vision. 1️⃣ What Are CNNs? Convolutional Neural Networks are a type...
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Oct 5, 2025 · 4 min read · Sometimes, the most valuable lessons come from unexpected moments. I was attending a data science workshop recently, and a brief discussion served as a powerful reminder of a crucial question we must ask ourselves: are we content with knowing that so...
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Sep 6, 2025 · 7 min read · Learning Objectives By the end of Log #5, you will be able to: Preprocess uploaded images for CNN models (ResNet18/ResNet50) Convert model tensors back into visualizable images Generate activation feature maps and grids for frontend visualization ...
Join discussionAug 24, 2025 · 6 min read · Introduction As we delve deeper into machine learning, we encounter tasks that require machines not just to make decisions, but to “see.” This is where Convolutional Neural Networks (CNNs) come into play, a specialized subset of deep learning models ...
Join discussionMay 11, 2025 · 5 min read · It all started one afternoon with a lively debate for a research project with our Head of Department, and she tossed out a wild idea: "What if we research on Quantum Computing and its applications in the domain of Machine Learning?". The room fell si...
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Apr 10, 2025 · 5 min read · What is Neural Style Transfer Input a content(image) to a neural network, and output the content in a new style. What are deep Conv Nets learning? ConvNet is like a series of filters that look at images to identify patterns. The first layer of the ne...
Join discussionFeb 9, 2025 · 2 min read · One of the interesting research projects I collaborated on with colleagues in China last year was using vision to predict the tendency of developing Alzheimer’s disease. We used images from diverse clinical datasets, which gave us a base and provided...
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Jan 22, 2025 · 6 min read · Problem Pneumonia is one of the leading causes of pediatric morbidity and mortality worldwide, which is why early and accurate detection of pneumonia remains critical in clinical settings, particularly for children. Envision an automated system that ...
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