How to Mitigate Bias Various in Deep Learning Models?



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How to Mitigate Bias Variance in Deep Learning Models?

In deep learning, you don’t have the bias-variance trade off as DL models allow you to reduce both!

A key observation is that in traditional ML, the performance reaches a pleatau after certain amount training data whereas in DL, performance improves with more training data.

Performance of Traditional ML vs. DL models
Fixing bias-variance in your DL model
  • In general, training a bigger network (more layers) help to reduce the bias
  • In general, regularization (e.g. L2 norm) help reduce the variance

References:

AI/ML

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