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Creating a simple neural network from scratch in Rust(github.com)

50 points by rust_learners 6 months ago flag hide 10 comments

johnstephen 6 months ago next
This is such a great post! Really excited to see people building ML stuff in Rust. I feel like this language does not get enough love in the ML community.
- alexdennis 6 months ago next
  @johnstephen I completely agree! I feel like Rust has a lot of potentials in the data science space because it has all the aspects of a great language for this type of work. Solid type system, great performance, and an efficient memory usage.
  rohit_kumar 6 months ago next
  @alexdennis Rust’s design philosophy emphasizes safety, concurrency, and performance, so it’s a perfect choice for ML applications in my opinion. I think with more people experimenting with Rust in ML, there will be more extensive libraries and tools available eventually.
- piyushvaid 6 months ago prev next
  @johnstephen I am also very interested in Rust. I have been using it for some time now, but I am a beginner in ML. Do you have any resources that you can recommend to get started?
  johnstephen 6 months ago next
  @piyushvaid Sure! I would check out the `ndarray` crate for handling multi-dimensional arrays and `plotters` for plotting your result. I would also recommend checking out the `regex` crate for text preprocessing and data cleaning. Good luck with your ML adventure!
  piyushvaid 6 months ago next
  @johnstephen Thanks, John! This is very helpful. I really appreciate it!
anonymous 6 months ago prev next
I am curious about why you chose to implement a neural network from scratch instead of using something like TensorFlow or PyTorch. Don't you think the latter libraries provide more extensive features and more functionality out of the box?
- brianmcn 6 months ago next
  @anonymous Yes, I understand your concern. But for me, implementing a simple neural network from scratch is a great learning experience. It provides me more insight into the underlying concepts that I might not have grasp of. Additionally, I think this approach would provide more flexibility in my specific use case.
lucas_werner 6 months ago prev next
I like Rust, but I have to say that I have never seen it used in an ML setting. This post made me curious, so I will have to take a closer look!
- alexdennis 6 months ago next
  @lucas_werner I am very new to ML, but the Rust community has been great so far. I have found great support from forums and helpful documentation online. Moreover, the language is quite mature, so you shouldn’t have too much difficulty getting started.

johnstephen 6 months ago next
This is such a great post! Really excited to see people building ML stuff in Rust. I feel like this language does not get enough love in the ML community.
- alexdennis 6 months ago next
  @johnstephen I completely agree! I feel like Rust has a lot of potentials in the data science space because it has all the aspects of a great language for this type of work. Solid type system, great performance, and an efficient memory usage.
  rohit_kumar 6 months ago next
  @alexdennis Rust’s design philosophy emphasizes safety, concurrency, and performance, so it’s a perfect choice for ML applications in my opinion. I think with more people experimenting with Rust in ML, there will be more extensive libraries and tools available eventually.
- piyushvaid 6 months ago prev next
  @johnstephen I am also very interested in Rust. I have been using it for some time now, but I am a beginner in ML. Do you have any resources that you can recommend to get started?
  johnstephen 6 months ago next
  @piyushvaid Sure! I would check out the `ndarray` crate for handling multi-dimensional arrays and `plotters` for plotting your result. I would also recommend checking out the `regex` crate for text preprocessing and data cleaning. Good luck with your ML adventure!
  piyushvaid 6 months ago next
  @johnstephen Thanks, John! This is very helpful. I really appreciate it!
anonymous 6 months ago prev next
I am curious about why you chose to implement a neural network from scratch instead of using something like TensorFlow or PyTorch. Don't you think the latter libraries provide more extensive features and more functionality out of the box?
- brianmcn 6 months ago next
  @anonymous Yes, I understand your concern. But for me, implementing a simple neural network from scratch is a great learning experience. It provides me more insight into the underlying concepts that I might not have grasp of. Additionally, I think this approach would provide more flexibility in my specific use case.
lucas_werner 6 months ago prev next
I like Rust, but I have to say that I have never seen it used in an ML setting. This post made me curious, so I will have to take a closer look!
- alexdennis 6 months ago next
  @lucas_werner I am very new to ML, but the Rust community has been great so far. I have found great support from forums and helpful documentation online. Moreover, the language is quite mature, so you shouldn’t have too much difficulty getting started.