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Installing This section follows https://developer.nvidia.com/rdp/digits-download. Install Docker CE first, following https://docs.docker.com/install/linux/docker-ce/ubuntu/
*cuDNN: https://developer.nvidia.com/cuDNN
**Install Documentation https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
*DIGITS: https://developer.nvidia.com/digits
**Install Docker:
**Then https://github.com/NVIDIA/DIGITS/blob/digits-6.0/docs/DockerInstall.md
*Caffe: http://caffe.berkeleyvision.org/
*BIDMach
→Dev Tools
====DIGITS====
Then follow https://github.com/NVIDIA/nvidia-docker#quick-start to install docker2, but change the last command to use cuda 10.1
docker run --runtime=nvidia --rm nvidia/cuda:10.1-base nvidia-smi
Then pull DIGITS using docker (https://hub.docker.com/r/nvidia/digits/):
docker pull nvidia/digits
Finally run DIGITS inside a docker container (see https://github.com/NVIDIA/nvidia-docker/wiki/DIGITS for other options):
docker run --runtime=nvidia --name digits -d -p 5000:5000 nvidia/digits
And open a browser to http://localhost:5000/ to see DIGITS
Documentation:
*https://github.com/NVIDIA/DIGITS/blob/digits-6.0/docs/GettingStarted.md
*https://developer.nvidia.com/digits
====cuDNN====
Documentation:
*https://developer.nvidia.com/cuDNN
*https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
====Python Based====
*Anaconda
**Tensorflow
*Theano
*Torch
====Other packages====
The following are not yet installed:
*Caffe: http://caffe.berkeleyvision.org/
*BIDMach: https://github.com/BIDData/BIDMach/wiki/Installing-and-Running
===Samba===
