Transfer Learning

[sbatchelder]

Transfer Learning is the process of training a pre-existing model for new output targets without having to retrain the whole network.

In this project this could look similar to the regular TRAIN subcommand, but where MODEL points to a previously trained .ptl model file.

neuston_net.py TRANSFER <optional_args> SRC MODEL TRAINING_ID