While "googl'ing" and doing some research I were not able to find <strong>any</strong> serious/popular framework/sdk for scientific GPGPU-Computing and <em>OpenCL</em> on <em>AMD</em> hardware. Is there any literature and/or software I missed?
While "googl'ing" and doing some research I were not able to find any serious/popular framework/sdk for scientific GPGPU-Computing and OpenCL on AMD hardware. Is there any literature and/or software I missed?
Especially I am interested in deep learning.
For all I know deeplearning.net recommends NVIDIA hardware and CUDA frameworks. Additionally all big deep learning frameworks I know, such as Caffe, Theano, Torch, DL4J, ... are focussed on CUDA and do not plan to support OpenCL/AMD.
Furthermore one can find plenty of scientific papers as well as corresponding literature for CUDAbased deep learning tasks but nearly nothing for OpenCL/AMD based solutions.
Is there any chance that new or existing scientific frameworks will show up for OpenCL/AMD based solutions in 2015/16?
What is a good start for deep learning with OpenCL/AMD? Any literature? Tutorials? Miscellaneous sources?
Deep learning on graphs: successes, challenges, and next steps. TL;DR This is the first in a series of posts where I will discuss the evolution and future trends in the field of deep learning on graphs.
Emojify - Create your own emoji with Deep Learning. We will classify human facial expressions to filter and map corresponding emojis or avatars.
Implementations regarding all of above experiments alongside the different result plots are provided in GitHub repository.
This paper presents a deep reinforcement learning model that learns control policies directly from high-dimensional sensory inputs.
The following document provides a whirlwind tour of some fundamental concepts in geometric deep learning.Shuman, D. I., Vandergheynst, P., and Frossard, P. (2011).