How to remove regularisation from pre-trained model?
Create a model with your required hyper-parameters and load the parameters to the model using load_weight().
I've got a partially trained model in Keras, and before training it any further I'd like to change the parameters for the dropout, l2 regularizer, gaussian noise etc. I have the model saved as a .h5 file, but when I load it, I don't know how to remove these regularizing layers or change their parameters. Any clue as to how I can do this?