Dockfile used to create docker image for deeplearning work *TensorFlow, Keras with Jupyter Notebook" - see https://cloud.docker.com/repository/docker/thekrinker/deeplearning

Dockerfile

FROM nvidia/cuda:10.0-cudnn7-devel

RUN apt-get update \
  && apt-get install -y --no-install-recommends \
    build-essential \
    curl \
    git \
  && rm -rf /var/lib/apt/lists/*

RUN curl -qsSLkO \
    https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-`uname -p`.sh \
  && bash Miniconda3-latest-Linux-`uname -p`.sh -b \
  && rm Miniconda3-latest-Linux-`uname -p`.sh

ENV PATH=/root/miniconda3/bin:$PATH

RUN conda install -y \
    h5py \
    numpy \
    scipy \
    scikit-learn \
    pandas \
    keras \
    tensorflow-gpu \
  && conda clean --yes --tarballs --packages --source-cache

RUN apt-get update \
    && apt-get install -y --no-install-recommends \
      graphviz \
    && rm -rf /var/lib/apt/lists/* \
    && conda install -y \
      pydot \
      jupyter \
      matplotlib \
      seaborn \
    && conda clean --yes --tarballs --packages --source-cache

VOLUME /notebook
WORKDIR /notebook
ENV PORT_NUM 8888
EXPOSE ${PORT_NUM}
CMD jupyter notebook --port ${PORT_NUM} --no-browser --ip=0.0.0.0 --allow-root --NotebookApp.token= --NotebookApp.allow_origin='*'