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Last pushed: 2 years ago
Short Description
Keras + Miniconda + TF 7.0 + CUDA 7.5 + cuDNN v4
Full Description

CUDA 7.5 + cuDNN v3 + Miniconda + TensorFlow + Keras

Requirements and installation

  • nvidia-docker
  • one or more NVIDIA gpu(s) with cuda compute capabilities > 3.0
  • CUDA driver installed on the Host OS

For more information about the nvidia-docker tool, please take a look at the requirement and the installation steps in the nvidia-docker wiki.

Specific example:

If you want to use your GPU 0 and GPU 1 (as listed by nvidia-smi), be able to serve an ipython notebook via the port 8888 and mount a volume where some notebooks are located you could use:

NV_GPU='0,1' nvidia-docker run -it -p 8888:8888 -v ~/notebooks:/notebooks tboquet/nameoftherepo
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