franalgaba/neural-network-cairo
Neural Network implementation from scratch for MNIST using Cairo 1.0
This project offers a foundational implementation of a neural network tailored for image classification. It takes in 28x28 pixel images, like handwritten digits, and classifies them into one of ten categories. It's designed for blockchain developers working with Cairo 1.0 who need to perform simple machine learning tasks directly within smart contracts, specifically for digit recognition.
No commits in the last 6 months.
Use this if you are a Cairo 1.0 smart contract developer looking to implement basic, on-chain image classification for handwritten digits.
Not ideal if you need a neural network for complex image recognition, large datasets, or want to train a model within Cairo 1.0.
Stars
10
Forks
1
Language
Rust
License
MIT
Category
Last pushed
Apr 01, 2023
Commits (30d)
0
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