Increasing/Decreasing Model Complexity

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J.Ng

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Feb 19, 2017, 2:16:30 AM2/19/17
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Hi all,

often times I see people saying that if you are underfitting/overfitting, that you should increase/decrease your models's complexity. However, what does this mean? Or rather, what specifically are we doing when we increase/decrease our model complexity? Any example prototxt files? Do we simply remove or add a layer? How would we do that while making sure the values (num_output, kernel size, stride, etc) are correct?
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