Mads Dabros

@cesarsouza thanks for outlining the contribution procedure and plan of action. This will surely help to focus the effort. I like your approach for porting the Keras engine. I also...

Without opening the whole GPU vs. CPU discussion, Intel is definitely targeting the Deep Learning market so I would expect CPU to become more and more viable. GPU support would...

Thanks for the response. I will be more than happy to help you test it on a newer GTX980 GPU. In the longer run I might also be able to...

I managed to build the current version and make a simple comparison of the CUDA and MKL provider using matrix multiplication. System specification: CPU: i7-4710HQ GPU: GTX 980M Matrix multiplication...

Gains at 256x256 also sounds more reasonable to me. On my system however i get: Matrix multiplication (Rows x Cols): 256 x 256, Average time over 100 iterations MKL Time...

Is there a way to set which GPU/Device should be used in the CUDA proider? I have two GPUs in my laptop and want to make sure that I am...

Hi @fstandhartinger, Thanks for your kind words and thanks for reporting the issue! There are a few other issues also related to the matrix implementation: #6, #20 The current implementation...

@fstandhartinger Adding a backend or interface to one of the leading gradient boost libraries is definitely something I want to do. My initial choice would be LightGBM from Microsoft, and...

Hi Florian, I think it's find to apply some moderate pressure to Microsoft, in the end they did listen to the community regarding C# support for CNTK, so hopefully the...

Hi @fstandhartinger Thanks for contributing with the LightGbmDotNet wrapper. I will definitely try it out, and make some experiments using it. I could imagine using it in conjunction with some...