Instructions for executing the code:

Since the project has been developed on google colaboratory, this instructions are focused on
Google colaboratory.

MNIST:

It is necessary to upload the file trained_model_mnist.h5 to the Google colab session.

Run everything except for the training. Running training (model.fit) would change the results 
discused on the memory.


GLF_SB2:

Due to privacy reasons, data is only available under request.

The first lines of code connect with a google drive. On that account should be stored the following
zip files: model.zip, capsulelib.zip and resnet50_trained.zip.

On the same google account data should be also stored. In order to avoid unnzipping issues, it 
is recommended to upload the data into 7 different zip files, one for each category.

Run everything except for the training. Running training (model.fit) would change the results 
discused on the memory.
