poloclub/cnn-explainer resource

Health v2 · maintenance only

Adoption not part of the score

9028 stars · 1347 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An interactive web-based visualization system for learning how Convolutional Neural Networks work, built around a small trained TinyVGG model. It lets non-experts explore CNN layers, operations, and predictions directly in the browser.

Use cases

• learn how convolutional neural networks work interactively
• visualize CNN layers and operations for teaching
• demonstrate deep learning concepts to non-experts
• explore a trained TinyVGG model's predictions in the browser
• supplement a deep learning course with a hands-on visualization

When to choose

• you want an intuitive, interactive introduction to CNNs without writing code
• you are an educator demonstrating convolution, pooling, and activation concepts
• you want a browser-based demo that runs locally with npm

When to avoid

• you need to visualize large or custom CNN architectures (support is limited)
• you need a production model training or inference tool
• you need general neural network visualization beyond CNNs

Facets

learning-resource · maturity maintenance

data-visualization machine-learning deep-learning deep-learning education data-visualization machine-learning browser interactive-visualization cnn educational-tool explainable-ai svelte web javascript nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="poloclub/cnn-explainer")