Originally published at: https://developer.nvidia.com/blog/mocha-jl-deep-learning-julia/
Deep learning is becoming extremely popular due to several breakthroughs in various well-known tasks in artificial intelligence. For example, at the ImageNet Large Scale Visual Recognition Challenge, the introduction of deep learning algorithms into the challenge reduced the top-5 error by 10% in 2012. Every year since then, deep learning models have dominated the challenges,…
This is beautiful. Is CUDA for Julia available now? I thought CUDA is only available for C/C++, Python, and Fortran according to this: https://developer.nvidia.co...
Because Julia has a foreign function interface, you can write and compile libraries that use CUDA in C/C++, and then call the libraries from Julia. Mocha.jl is written this way, but using Mocha.jl does not require you to write any CUDA kernels yourself.
Is there a C++ binding for this?