On 11/04/2011 03:49 PM, Andreas Müller wrote: > On 11/04/2011 03:42 PM, Alexandre Passos wrote: >> On Fri, Nov 4, 2011 at 10:34, Lars Buitinck <[email protected]> wrote: >>> 2011/11/4 Alexandre Passos <[email protected]>: >>>> I have a question: why not just use Theano for this? I doubt that we >>>> can write neural network code that's as fast as their automatically >>>> generated code. >>> Would that mean an extra run-time dependency? >> Yes, as theano needs a compiler (gcc or nvcc if you want to use cuda) >> available at run time, but even still it's faster even than most >> hand-coded implementations of neural networks. James Bergstra reads >> this list occasionally, and he's one of the main people behind theano, >> so he can give more info here. >> >> > As an afterthought: you could use the same argument for SGD, kmeans and many other algorithms inside sklearn. Do you want all of them to be replaced by theano implementations?
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