Hi.

I have an unbalance problem on my dataset, I have three or four times more 
positive data than negative. I would like that my CNN, at training, 
penalizes hardly when a negative samples is classified incorrectly. I think 
that I should change the cost in order to do that, but I do not know how. 
If someone could give me some tricks I would be very pleased.

I am using the logistic regression cost implemented in the theano tutorial.

Thank you very much in advance.

Kind regards.

Beatriz.

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