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I wonder why would you tune the learning rate (too much) at all? On many platforms you can include something like a learning rate scheduler. It will decrease the learing rate when no more learning progress is made. So you "tune" the learning rate "on the fly" while training. With Keras this could look like: early_stopping = EarlyStopping(...


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