Deep Learning Benchmarks (opens in new tab)

Feel free to ping us (TensorFlow) on github issues to get installation issues resolved -- on cudnn r4 we're doing much better, and we're soon to check in a series of changes to get us roughly on par with Torch on cudnn r4.

We'd love to get a more up-to-date representation of the state of our own progress :)

Not true, works on GTX 750ti out of the box which is currently around $130

Can you expand on that? As far as I'm aware that's not true (anymore). It runs quite fine on AWS which uses older NVIDIA cards and I know several people use it on older-gen GPU-enabled MBPs.

EDIT: clarification

You mean, comparing the performance after training a model?

Oh actually: https://github.com/uoguelph-mlrg/theano_alexnet and

VGG: https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3

For Googlenet, sadly not yet: https://github.com/fchollet/keras/issues/302

I'd also try some non conv, RNN/LSTM stuff btw. Those are of special interest to me, but also, keras has some great models there.

Ah. I'd look at keras examples - they have alexnet and VGG right now. Although, an exact implementation may be hard to find - the best you can do is an "alexnet~ish" implementation keeping some keras graph limitations on convs.

I haven't run any in a while so I don't have the data myself, unfortunately.

Great work btw.

What was the motivation to build leaf?