Hi Petr,
to clarify a bit:
pylearn2 specifically comes with a script to convert a model trained
on a GPU into a version that runs on the CPU. This doesn't work very
well though and the documentation points that out too. According to
the dev commens that is down to how Theano, the framework pylear
Rémi,
Nvidia launched the K20 GPU in late 2012. Since then, GPUs and their
convolution algorithms have improved considerably, while CPU performance
has been relatively stagnant. I would expect about a 10x improvement with
2016 hardware.
When it comes to training, it's the difference between runni
Also, reading more of that pull request, the guy benchmarking it had old
nvidia driver version which came with about 50% performance hit. So I'm
not sure what were the final numbers. (And whether current caffe
version can actually match these numbers, since this pull request wasn't
merged.)
On W
I tried Detlef's 54% NN on my machine. CPU = i7-5930K, GPU = GTX 980
(not using cuDNN).
On the CPU, I get 176 ms time, and 10 ms on the GPU (IIRC, someone
reported 6 ms with cuDNN). But it is using only one core on the CPU,
whereas it is using the full GPU.
If this is correct, then I believe
I'm sure quite a few people here have suddenly taken a look at neural
nets the past few months. With hindsight where have you learnt most?
Which is the most useful book you've read? Is there a Udacity (or
similar) course that you recommend? Or perhaps a blog or youtube series
that was so good you w
This online book by Michael Nielsen is a fantastic resource:
http://neuralnetworksanddeeplearning.com/
It builds everything from the ground up in easily digested chunks. All
the required math is in there, but can be skipped if just a general
understanding and basis for application is desired. High
Hello Tian,
the following is confidential, only for you.
I do not know, how the situation with your go project is.
But please let me know if I can help you in some way or another
to convince your boss that further work on computer-go makes
sense for facebook.
Best regards, Ingo.
Strictly confidential, I dare say!
Dne st 2. 3. 2016 21:04 uživatel "Ingo Althöfer" <3-hirn-ver...@gmx.de>
napsal:
> Hello Tian,
>
> the following is confidential, only for you.
>
> I do not know, how the situation with your go project is.
> But please let me know if I can help you in some way or
