goldstraw/rust_cnn
Rust convolutional neural network from scratch
This project helps software developers implement image recognition or classification features in Rust applications. It takes raw image data (like handwritten digits or state outlines) and outputs classifications, enabling the application to 'understand' what's in the image. This is for developers building machine learning capabilities directly into their Rust software.
No commits in the last 6 months.
Use this if you are a Rust developer who needs to build a convolutional neural network for image classification directly into your application without relying on external machine learning frameworks.
Not ideal if you are a data scientist or machine learning engineer looking for a high-level tool to quickly train and deploy models without writing low-level network code.
Stars
24
Forks
4
Language
Rust
License
AGPL-3.0
Category
Last pushed
Oct 05, 2024
Commits (30d)
0
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