I got the basics of Machine learning (including sample neural nets) from Andrew
Ng's course course, two or three years ago. I highly recommend it. Lots of
practical advice. The rest came from reading papers and probably some on-line
searches. Amazon's Computer Vision team uses deep neural ne
If you are using caffe, the network evaluator is single threaded, but it spends
almost all of its time in BLAS, which uses one thread per virtual CPU.On a
somewhat slower i7, I’m seeing about 200 ms.
David
> -Original Message-
> From: Computer-go [mailto:computer-go-boun...@computer
Caffe looks like it runs the same net on CPU and GPU with no conversion. I'm
going to see if I can get it working on an AWS GPU instance this weekend.
David
> -Original Message-
> From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf
> Of Michael Markefka
> Sent: Wedn
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
you can use caffe with time on the command line.
It gives you forward and backward time for a batch.
In my tests the batch size was not too important (I think, because the
net is quite large)...
cuDNN helps a lot in training, I did not test recently
