Docker file keras 1.2.2 with TF 1.0 and jupyter

FROM gw000/keras:1.2.2-py3 # https://hub.docker.com/r/gw000/keras/

MAINTAINER [email protected]

# install additional python packages
RUN pip3 --no-cache-dir install \
    # jupyter notebook and ipython (Python 3)
    ipython \
    ipykernel \
    jupyter \
    # data analysis (Python 3)
    pandas \
    scikit-learn \
    statsmodels \
 && python3 -m ipykernel.kernelspec


# for jupyter
EXPOSE 8888
# for tensorboard
EXPOSE 6006


WORKDIR /srv/
CMD /bin/bash -c 'jupyter notebook --no-browser --ip=*  "$@"'

# run it like this.
# docker run -it  -p=6006:6006 -p=8888:8888 -v=/Users/vamsee/Documents/tech/ml/projects/ml-docker/notebooks:/srv vamsee/keras-tf
# or
# docker run -it  -p=6006:6006 -p=8888:8888 -v=/Users/vamsee/Documents/tech/ml/projects/ml-docker/notebooks:/srv vamsee/keras-tf /bin/bash

# Misc tests
# python3 -c "import keras; print(keras.__version__)"
# -->Using TensorFlow backend.
# -->1.2.2
# python3 -c 'import tensorflow as tf; print(tf.__version__)'
# -->1.0.0
# tensorboard --logdir logs