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to NYC Machine Learning Review
I'm not sure if this was discussed in the review last night. I sort of
get the idea on deciding the number of hidden layers we need - (should
be proportional to the degree of term we are trying to model.) But how
do we decide , the number of nodes in each hidden layer?
Is there a rule of thumb for this? For example in this week's
programming assignment he has chosen 25 as the number of nodes for the
hidden layer. Why?
Thank you in advance,
Sajit
sajit
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Nov 4, 2011, 12:28:02 AM11/4/11
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