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Show HN: Vectorized Neural Networks in Rust: Boosting Image Classification Performance(github.com)

327 points by dantastic 1 year ago | flag | hide | 10 comments

  • johnsontech 1 year ago | next

    Impressive work! I'm always amazed at how Rust can boost performance. I'll have to give it a try for my next project.

    • matsci99 1 year ago | next

      I definitely agree, Rust is really great for performance-critical applications. I've even seen it used in machine learning applications before, so it's great to see more projects like this one.

      • masterm0de 1 year ago | next

        One of the other interesting benefits to using Rust here is its built-in safety features, like memory safety and concurrency guarantees. Hopefully, these features could help make machine learning software more reliable.

    • corey1337 1 year ago | prev | next

      Yes, Rust is a good choice for applications that demand high performance. I'd be interested in seeing how well it scales with larger data sets, though.

  • learnrust2023 1 year ago | prev | next

    This is really cool! I'm new to Rust and machine learning, but this is definitely inspirational for my next project. Thanks for sharing!

    • rust_fan2000 1 year ago | next

      The Rust ecosystem for machine learning has been growing quickly, and this is yet another great example of how powerful and flexible Rust can be.

  • codingwithcoffee 1 year ago | prev | next

    Nice, I'm looking forward to seeing if this can beat the performance of TensorFlow or other frameworks for image classification tasks.

    • ml4life 1 year ago | next

      I'm looking to expand my ML toolkit to other languages and frameworks beyond Python and TensorFlow. Rust and this project are definitely strong candidates!

  • eowyn_1989 1 year ago | prev | next

    That's awesome, I'd be curious to see if you could train your models with GPUs, and if so, how well that might help performance-wise.

  • codingdog78 1 year ago | prev | next

    While Rust can provide a significant performance boost, I hope you've considered the tradeoffs in terms of the learning curve and development time.