Deciding What to Do Next (Revisited)

• What to do or not to do to increase the learning algorightm

• choosing small set of features when suffering High Bias, is NOT THE CORRECT WAY
• All of the reaseon has discussed in previous videos

• the left is less parameters and that is tend to have underfitting problem
• Large Neural Networks is really prone to overfitting. Use regularization to fix this. Use that instead of using simpler neural neural networks.
• number of hidden layers is your customize, but one hidden layer is the default.
• Find cross validation, train set (split) and see which hidden layer number of units works best for neural networks.

• That is for diagnose the curve from high variance/high bias
• May all these tools and diagnostic can really help our learning algorithm to work really well

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