#Gtx 1070 abysmal opencl benchmark score windows
I am sure that Theano works equally well on Linux and OSX, but Windows is where I have the most experience in, so Windows it is for this article. So I'm writing this article to get you ramped up to Machine Learning on Windows with the minimum amount of pain. I need to say that we are experiencing a planet alignment phenomenon right now, because everything seems to be working fine with the latest from Microsoft and Nvidia, and that is a rare phenomenon. So i bought myself an ASUS laptop equipped with an Nvidia 1070 GPU, and started installing, prototyping, breaking, fixing, breaking again, and fixing again, till I got everything working. So I set out on a mini-odyssey to make it run on Windows 10, with the latest Visual Studio (2105 CE), the latest CUDA toolkit from Nvidia (CUDA 8), and the latest everything-related. Well-intentioned advice, mind you, but hopelessly outdated and convoluted.
#Gtx 1070 abysmal opencl benchmark score how to
There is however one huge issue with Theano, and that is the amount of junk advice out there about how to install and run it with a GPU. Whenever i see "simple", my heart lights up. Third, there are other frameworks, like Keras, built on top of Theano with the goal to simplify building neural networks with it. Second, it's cross platform, with researchers running it on Linux, OSX, and Windows. First, it's essentially a graph-language but it's in Python, and I already speak Python. The problem with TensorFlow is that you have to learn a new graph-based language, and Google being Google, they tend to not like Windows platforms very much, especially now that most elementary schools are busy upgrading their Chromebooks OS to Windows 10. I don't have much experience on Caffe, but there is nothing not to love about Theano. I already speack C#, Java, Python, and Javascript, so my brain is already kinda full.
The problem with Torch, arguably the most used of all ML frameworks, is that it really prefers to run on Linux and you need to learn a new language (LUA). There are others, but these are the four that most University Machine Learning research is conducted on. There are 4 main Machine Learning (ML) frameworks out there: The University of Montreal's Theano, Facebook's Torch, Google's TensorFlow, and Berkeley's Caffe (Microsoft's Cognitive Toolkit, CNTK, is a bit more specialized).
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