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Nvidia earlier this month released cuDNN, a set of optimized low-level primitives to boost the processing speed of deep neural networks (DNN) on CUDA compatible GPUs.
The company intends to help developers harness the power of graphics processing units for deep learning applications.
The library is described as "very straightforward to use" by their author but is expected to be more frequently used indirectly via higher-level toolkits such as Caffe or Torch,...
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