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| author | Nikolay Nikolov <nikobnikolov[at]gmail[dot]com> | 2017-07-18 11:47:28 +0100 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2017-07-22 06:56:01 +0700 |
| commit | 620777f1f9a6c5136e582aa3cd01107b9641c26e (patch) | |
| tree | 07f2f4fa3c78db3a1bf0d8201a1784de7d61084b /development/cudnn/README | |
| parent | 33f1a4ccea9fe4905e9f4322a0dff9f0ebfd4f79 (diff) | |
development/cudnn: Added (CUDA Deep Neural Network library).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'development/cudnn/README')
| -rw-r--r-- | development/cudnn/README | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/development/cudnn/README b/development/cudnn/README new file mode 100644 index 0000000000000..097b80517b1a4 --- /dev/null +++ b/development/cudnn/README @@ -0,0 +1,12 @@ +The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated +library of primitives for deep neural networks. cuDNN provides highly tuned +implementations for standard routines such as forward and backward convolution, +pooling, normalization, and activation layers. cuDNN is part of the NVIDIA +Deep Learning SDK. + +You will need to register for NVIDIA developer account to download the source. + +Make sure you create the CUDA_HOME environment variable and add it to your +~/.bashrc. The default should be + +CUDA_HOME=/usr/share/cuda |