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74:37 - 76:26 How to improve our model
What is the default way of training?
- add a few layers at the end
- only train or update weights for the last few layers
What is the benefit of the default way?
- less likely to overfit
- much faster
How to train the whole model?
- unfreeze the model learn.unfreeze()
- train the entire model learn.fit_one_cycle(1)
why it is easy to ruin the model by training the whole model?
- learning rate is more likely to set too large for earlier layers *
- to understand it please see the next question
目录 Lesson 1 知识点分解
The text was updated successfully, but these errors were encountered:
How to improve our model? finetuning
74:37 - 76:26
How to improve our model
What is the default way of training?
- add a few layers at the end
- only train or update weights for the last few layers
What is the benefit of the default way?
- less likely to overfit
- much faster
How to train the whole model?
- unfreeze the model
learn.unfreeze()
- train the entire model
learn.fit_one_cycle(1)
why it is easy to ruin the model by training the whole model?
- learning rate is more likely to set too large for earlier layers *
- to understand it please see the next question
目录 Lesson 1 知识点分解
The text was updated successfully, but these errors were encountered: