BilalReffas/EmojiIntelligence resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1427 stars · 83 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A neural network implemented entirely in Swift inside an Apple Playground that recognizes hand-drawn emojis from 8x8 pixel inputs. It serves as an educational demo showing how a simple fully-connected network with sigmoid activation can be built from scratch.

Use cases

• learn how neural networks work from scratch in Swift
• build a neural network in an Apple Playground
• recognize hand-drawn emoji images with machine learning
• teach machine learning concepts on iPad or macOS
• see an example of a fully-connected network with sigmoid activation
• find a fun beginner machine learning project in Swift

When to choose

• you want to learn neural network fundamentals with readable Swift code
• you are teaching or demoing ML concepts in Apple Playgrounds on macOS or iPad
• you want a small, self-contained educational ML project with no dependencies

When to avoid

• you need a production-ready or actively maintained ML framework
• you want GPU acceleration, convolutions, or modern deep learning features
• you need to train on large datasets or deploy models to production

Facets

learning-resource · maturity abandoned

machine-learning image-processing machine-learning artificial-intelligence education tutorials neural-network swift-playground emoji-recognition educational-demo from-scratch macos ios swift

Member repositories

For agents

markdown · JSON · MCP: product_card(name="BilalReffas/EmojiIntelligence")