Trivial NN implementations are a dime a dozen, and this one is no different. It's just a partial work in progress; it's not a 'Show HN'; it's just a few hundred lines of toy code.
...and that's the same feedback it got on /r/rust last week.
I don't see why it's turned up here now.
(Just as a baseline, at this point, if you can't use your NN implementation to at least do a basic classifier on MNIST, its probably not worth showing people)
I'm working on adding more features to this project but for sure, it is not production ready at all and is not a competitor of Tensorflow or Leaf.
It's not.
I'm sorry if that sounds harsh, but that's what you have.
There's no point to showing off something this raw: all you'll get is negative feedback about the limited features it has and negative feedback from people who try to use it for something and find that you can't actually do anything with it.
Just hold onto it until it can actually do something useful with it; and as I said in my previous post, I'm not talking some 'abstract' sort of useful thing.
The MNIST dataset is the basic standard task for these frameworks; my advice is focus 100% on being able to classify that dataset, and then you'll have something to show.
I will devote more time to this and I will try to make you happier with the demo page and further versions.