Basic Recipe for Machine Learning (C2W1L03)

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5:14 So basically one advantage of deep learning is that we can have a model with BOTH low bias AND low variance? We can have our proverbial cake and eat it too?

RedShipsofSpainAgain
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great explanation .need to watch again

sandipansarkar
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i get confuse bcz when "bias" i think of "the neural netowrk is *biased* towards the training dataset" but it not that, that's variance instead.

retrfoxx_osu
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Why regularization is only for Overfitting?

muhammadahmedshuja
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How does a bigger network reduce bias?

shwethasubbu
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at 0:54, What does "training longer" mean?

Has-
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Bigger network doesn't mean collecting more data?

chitralalawat