Public Repository

Last pushed: a year ago
Short Description
python3.5 + tensorflow + gpu
Full Description

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="" --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!

Docker Pull Command