Dockerfile

# Use Ubuntu as a base image for creating a new one.
FROM ubuntu:16.04

# Install dependencies for Tensorflow.
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        curl \
        libfreetype6-dev \
        libhdf5-serial-dev \
        libpng12-dev \
        libzmq3-dev \
        pkg-config \
        python \
        python-dev \
        rsync \
        software-properties-common \
        unzip

RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
    python get-pip.py && \
    rm get-pip.py

# Install python packages and Tensorflow itself.
RUN pip --no-cache-dir install \
        Pillow \
        h5py \
        ipykernel \
        jupyter \
        matplotlib \
        numpy \
        pandas \
        scipy \
        sklearn \
        tensorflow \
        && \
    python -m ipykernel.kernelspec

# Set working directory -- default path where docker would run commands.
WORKDIR "/workspace"

# Set default command that always run if there is no other command specified.
# This prints current tensorflow version number.
CMD ["python", "-c", "import tensorflow; print(tensorflow.__version__)"]