Reduce learning rate after certain number of epoch

Hi, I have a question about reducing the learning rate or another way to enhance accuracy during training a deep learning model.

Suppose the loss metric does not improve after a defined epoch (for example 8). Is there a way to reduce the learning rate?

or

If the accuracy metric (or loss metric) fails to improve after a certain number of epochs, give another solution to improve accuracy.

Thank you all for your time and consideration

Answer 1

[Sivylla Paraskevopoulou]

Check out the example Specify Training Options to see how to reduce the learning rate after a certain number of epochs.

[Francisco Serra]

Hey @Sivylla Paraskevopoulou what about REINFORCEMENT LEARNING TRAINING?

train requires rlTrainingOptions and this one doesn't have that decayment option. Do you any have a tip?

[Nicolas CRETIN]

Hi Francisco,

Check this out, this should help: Learning rate schedule - Reinforcement Learning Toolbox - MATLAB Answers - MATLAB Central (mathworks.com)