Transfer learning #2
Description
Another feature we would need is transfer learning, for adapting a model to our particular purposes.
In particular, we would like to train a model, for instance, SB_CNN with URBAN_SED. Then, we would like to remove the last fully connected layers and replace them with new fully connected layers. Finally, we would like to train these layers with a certain dataset (e.g. recordings of the sound classes we want to detect), while keeping the weights fixed for the rest of the model.
I am willing to discuss the different possible ways of implementing this, if you agree.
Thanks!