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semyanovk/tensorflow

By semyanovk

Updated almost 10 years ago

python3.5 + tensorflow + gpu

Image
0

121

semyanovk/tensorflow repository overview

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!

Tag summary

Content type

Image

Digest

Size

2.2 GB

Last updated

almost 10 years ago

docker pull semyanovk/tensorflow:gpu