What kind of benchmarks were you looking for? Benchmarks with respect to speed or MNIST results? For MNIST, using the DNN example, Hebel gets results that are in line with reported results on the MNIST homepage [1] for…
That would be possible, but since Hebel is mainly meant to be used in research I don't think it's a big priority now. The most important reason to do this would be to allow development on laptops and workstations…
The reason why haven't heard of it is probably because I only put the code on Github less than two weeks ago ;) - I've really been blown away by the response though.
This is awesome and I'm sure it will be a boon to app developers who want to include Machine Learning capabilities in their apps. It looks to me as though Ersatz's focus is on providing a limited range of relatively…
Yes, you can't come up with a hard number, but a 10x speedup is really the baseline. 50x and more are not out of the question.
Yes, this is true. Theano is just a GPU-computing framework that you can use to implement any kind of numerical model. Hebel implements some specific models, but it uses PyCUDA as a backend.
Yes, I'm sorry about that, but it's not going to change. I personally don't have experience developing for OpenCL and the deep learning community seems to very much have embraced CUDA.
Yes, Hebel doesn't have a ton of features and a kitchen-sink of different models yet, but I hope that's going to change. There are lots of things that are quite easy to implement in the current framework, such as: -…
Hello Hacker News, this is the Hebel developer. Thanks for the attention and the Github stars! I'll do my best to answer any questions in the thread. Looking forward to you trying out Hebel and your pull requests ;)
What kind of benchmarks were you looking for? Benchmarks with respect to speed or MNIST results? For MNIST, using the DNN example, Hebel gets results that are in line with reported results on the MNIST homepage [1] for…
That would be possible, but since Hebel is mainly meant to be used in research I don't think it's a big priority now. The most important reason to do this would be to allow development on laptops and workstations…
The reason why haven't heard of it is probably because I only put the code on Github less than two weeks ago ;) - I've really been blown away by the response though.
This is awesome and I'm sure it will be a boon to app developers who want to include Machine Learning capabilities in their apps. It looks to me as though Ersatz's focus is on providing a limited range of relatively…
Yes, you can't come up with a hard number, but a 10x speedup is really the baseline. 50x and more are not out of the question.
Yes, this is true. Theano is just a GPU-computing framework that you can use to implement any kind of numerical model. Hebel implements some specific models, but it uses PyCUDA as a backend.
Yes, I'm sorry about that, but it's not going to change. I personally don't have experience developing for OpenCL and the deep learning community seems to very much have embraced CUDA.
Yes, Hebel doesn't have a ton of features and a kitchen-sink of different models yet, but I hope that's going to change. There are lots of things that are quite easy to implement in the current framework, such as: -…
Hello Hacker News, this is the Hebel developer. Thanks for the attention and the Github stars! I'll do my best to answer any questions in the thread. Looking forward to you trying out Hebel and your pull requests ;)