Useful commands:
docker pull semyanovk/tensorflow:gpu
nvidia-docker run -it -p 8888:8888 --net=host semyanovk/tensorflow:gpu
docker start <container_name>
docker stop <container_name>
docker exec -it <container_name> bash
docker rm <container_name>
Inside the container:
export PATH=~/anaconda3/bin:$PATH
source activate tensorflow
jupyter notebook --ip="0.0.0.0" --port="8888" --no-browser
Connecting to the notebook from local machine:
ssh -i key -NL 8157:localhost:8888 user@ip
Open your browser at "localhost:8157"
See "Example.ipynb"
Be careful! GPU support is not properly tested yet!
Content type
Image
Digest
Size
2.2 GB
Last updated
almost 10 years ago
docker pull semyanovk/tensorflow:gpu