{"slug": "lenet-5-a-visual-guide", "title": "LeNet-5: A Visual Guide", "summary": "Interactive visual guide to LeNet-5, a neural network designed to recognize handwritten digits. It explains key components like convolution and pooling layers, feature maps, filters, and the RBF output layer, allowing users to draw a digit and observe its real-time processing through each network layer. The guide also covers SDNN sequence recognition and includes interactive visualizations for every layer.", "body_md": "An interactive guide to the neural network that learned to read handwritten digits.\nDraw a digit and watch how it moves through each layer of LeNet-5 in real time.\nWhat’s covered\n- Convolution and pooling layers\n- Feature maps and filters\n- RBF output layer\n- SDNN sequence recognition\nIncludes interactive visualizations for every layer.", "url": "https://wpnews.pro/news/lenet-5-a-visual-guide", "canonical_source": "https://dev.to/sbondaryev/lenet-5-a-visual-guide-af5", "published_at": "2026-05-20 13:10:05+00:00", "updated_at": "2026-05-20 13:36:20.710103+00:00", "lang": "en", "topics": ["machine-learning", "artificial-intelligence", "research", "data"], "entities": ["LeNet-5"], "alternates": {"html": "https://wpnews.pro/news/lenet-5-a-visual-guide", "markdown": "https://wpnews.pro/news/lenet-5-a-visual-guide.md", "text": "https://wpnews.pro/news/lenet-5-a-visual-guide.txt", "jsonld": "https://wpnews.pro/news/lenet-5-a-visual-guide.jsonld"}}