MikhailKravets/NeuroFlow
Awesome deep learning crate
This is an educational resource for individuals learning to implement neural networks using Rust. It allows you to define neural network architectures, provide input data (either programmatically or from CSV files), and train the network to approximate functions or solve classification problems like XOR. Aspiring Rust developers and computer science students interested in deep learning would find this useful for hands-on learning.
121 stars and 141 monthly downloads. No commits in the last 6 months.
Use this if you are a Rust developer or student who wants to understand the fundamentals of neural network implementation by building and training simple models.
Not ideal if you need a production-ready, high-performance deep learning framework for complex tasks, as this is primarily for educational purposes.
Stars
121
Forks
20
Language
Rust
License
MIT
Category
Last pushed
Aug 18, 2023
Monthly downloads
141
Commits (30d)
0
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