Sid
2018-02-16 16:27:44 UTC
I am trying to optimise a cost function where I find the mean Euclidean
distance between each data point and a weight. However, depending on the
class of the data, I use the weight for that particular class. So the cost
function looks like:
sum_i ||x_i - w_{y_i}||^2
How do I implement this cost function in Theano?
Thanks
distance between each data point and a weight. However, depending on the
class of the data, I use the weight for that particular class. So the cost
function looks like:
sum_i ||x_i - w_{y_i}||^2
How do I implement this cost function in Theano?
Thanks
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