This docker container contains Tensorflow Study Examples and a test Enviroment. Tensorflow Study Example cloned from https://github.com/Finfra/TensorflowStudyExample.git .
Copy the sources to your docker host and build the container, and to run.
docker build --rm -t nowage/tensorflow_study .
docker run -it --rm --name t1 -p 8888:8888 nowage/tensorflow_study
Get the port that the container is listening on:
# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
c37c1b1099ae nowage/tensorflow_study "/run_jupyter.sh --a…" 9 seconds ago Up 8 seconds 6006/tcp, 0.0.0.0:8888->8888/tcp t1
docker rm -f t1
mkdir ~/df
docker run -it --name t1 -p 8888:8888 -v ~/df:/notebooks/df nowage/tensorflow_study
docker rm t1 -f
docker rmi nowage/tensorflow_study
$ docker login
Login with your Docker ID to push and pull images from Docker Hub. If you don't have a Docker ID, head over to https://hub.docker.com to create one.
Username: nowage
Password:
Login Succeeded
$ docker push nowage/tensorflow_study
The push refers to repository [docker.io/nowage/tensorflow_study]
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latest: digest: sha256:ee327564ba0f777c2cebea9bebea2c956cecd9f7d87679d90ac8ec54a0baae65 size: 3669