The versions packaged with SKIL are based off a particular major release. They may contain additional forward-commits and/or patches that may not be present in the base release, or they may be lacking certain commits that are not yet stable enough to be released as part of SKIL.
SKIL v1.1 is distributed with DL4J components from v1.0.0-beta
tensorflow_gpu is NOT installed by default. It can be installed with a
%sh /opt/skil/miniconda/bin/conda install tensorflow_gpu
paragraph in a notebook.
This is required for tensorflow-gpu as Keras backend as well.
** Contact Skymind for customized or optimized versions for your environment.