4 ms·

Show HN: LambdaNet – A functional neural network library written in Haskell

56 points by jbarrow 12y ago

im3w1l 12y ago
Looks very nice! May I ask how fast it is?
- jbarrow 12y ago
  It's reasonably fast, as it uses HMatrix for linear algebra -- HMatrix relies on BLAS rather than native Haskell for all the matrix and vector math.
coolsunglasses 12y ago
This looks really cool. Are there any papers that describe neural networks that function in a manner similar to how this library works?
- boothead 12y ago
  There are a really great soup to nuts explanation of implementing neural nets in Haskell in issue 21 of the monad reader http://themonadreader.files.wordpress.com/2013/03/issue214.pdf http://themonadreader.files.wordpress.com/2013/03/issue214.p...
jdiez17 12y ago
Thanks for sharing this. I've been interested in Haskell for a while and I hadn't really started writing any actual programs until very recently[1]. I also wanted to learn about neural networks, and reading your source code was quite pleasant. It looks really interesting, congratulations. [1] I wrote a toy IRC bot for a channel I have with some friends. It's quite primitive. https://github.com/jdiez17/HaskellHawk https://github.com/jdiez17/HaskellHawk
jokoon 12y ago
off-topic question: is it possible to speed up a neuron network software using a gpu or specialized hardware running openCL ? what about using supercomputers ?
- jbarrow 12y ago
  Actually, that's exactly how they speed up neural networks, especially deep neural networks. Andrew Ng showed that they could run the Google Brain on COTS GPUs for about $21,000 [1]. You can experiment with this yourself using a package like Theano (Python) [2] or Caffe (C++) [3]. [1] http://cs.stanford.edu/people/ang/?news=stanford-team-develops-commerical-off-the-shelf-deep-learning-system http://cs.stanford.edu/people/ang/?news=stanford-team-develo... [2] http://deeplearning.net/software/theano/ http://deeplearning.net/software/theano/ [3] http://caffe.berkeleyvision.org http://caffe.berkeleyvision.org

56 points by jbarrow 12y ago

im3w1l 12y ago

Looks very nice! May I ask how fast it is?

jbarrow 12y ago
It's reasonably fast, as it uses HMatrix for linear algebra -- HMatrix relies on BLAS rather than native Haskell for all the matrix and vector math.

coolsunglasses 12y ago

This looks really cool. Are there any papers that describe neural networks that function in a manner similar to how this library works?

boothead 12y ago
There are a really great soup to nuts explanation of implementing neural nets in Haskell in issue 21 of the monad reader http://themonadreader.files.wordpress.com/2013/03/issue214.pdf http://themonadreader.files.wordpress.com/2013/03/issue214.p...

jdiez17 12y ago

Thanks for sharing this. I've been interested in Haskell for a while and I hadn't really started writing any actual programs until very recently[1]. I also wanted to learn about neural networks, and reading your source code was quite pleasant. It looks really interesting, congratulations. [1] I wrote a toy IRC bot for a channel I have with some friends. It's quite primitive. https://github.com/jdiez17/HaskellHawk https://github.com/jdiez17/HaskellHawk

jokoon 12y ago

off-topic question: is it possible to speed up a neuron network software using a gpu or specialized hardware running openCL ? what about using supercomputers ?

jbarrow 12y ago
Actually, that's exactly how they speed up neural networks, especially deep neural networks. Andrew Ng showed that they could run the Google Brain on COTS GPUs for about $21,000 [1]. You can experiment with this yourself using a package like Theano (Python) [2] or Caffe (C++) [3]. [1] http://cs.stanford.edu/people/ang/?news=stanford-team-develops-commerical-off-the-shelf-deep-learning-system http://cs.stanford.edu/people/ang/?news=stanford-team-develo... [2] http://deeplearning.net/software/theano/ http://deeplearning.net/software/theano/ [3] http://caffe.berkeleyvision.org http://caffe.berkeleyvision.org