Make and/or load ResNet-15 embeddings of CIFAR-10 and SVHN

Set Up on Linux:

1. Download conda at https://docs.conda.io/en/latest/
2. run sh setup.sh on a linux system, preferably Ubuntu
3. run source activate py36 to enter the conda env
4. to get an interactive shell with dicts containing embeddings for each dataset, run python -i load_embeddings.py.

Set Up on MacOS:

1. Download conda at https://docs.conda.io/en/latest/
2. run conda create -n py36 python=3.6
3. run source activate py36 to enter the conda env
4. pip install -r requirements.txt
5. to get an interactive shell with dicts containing embeddings for each dataset, run python -i load_embeddings.py.