科技回声

If you haven't already, check out Synaptic [1] by Juan Cazala. I use it in many of my ML projects and it contains a lot of useful examples and documentation. I recommend you take a look at the source as well, which is easy enough to understand.<p>[1] <a href="https://github.com/cazala/synaptic" rel="nofollow">https://github.com/cazala/synaptic</a>

Those of you HNers working with or studying artificial neural networks (or armchair enthusiasts), is there any research you've seen recently that had you particularly excited?

I can't see how the 'fast' claim is quantified.

Allright, now somebody please hook this into a game of 2048 and let the machines show us how it' s done.

Some more tutorials would be nice. I tried to learn it addition, but that failed miserable.

This should be published on npm

Those of you HNers working with or studying artificial neural networks (or armchair enthusiasts), is there any research you've seen recently that had you particularly excited?

I can't see how the 'fast' claim is quantified.

Allright, now somebody please hook this into a game of 2048 and let the machines show us how it' s done.

Some more tutorials would be nice. I tried to learn it addition, but that failed miserable.

This should be published on npm

FANN.js – Fast Artificial Neural Network Compiled with Emscripten

6 条评论

FANN.js – Fast Artificial Neural Network Compiled with Emscripten

6 条评论