I'm quite new to Theano and trying to implement a modified version of "
theano.tensor.nnet.binary_crossentropy()" that is multiplied by a scalar as
"loss = -(beta * (target * T.log(output)) + (1.0 - beta) * ((1.0 - target)
* T.log(1.0 - output)))". "beta" is equal to the number of zero elements in
"target" divided by the total number of elements. "target" and "output" are
both "T.tensor4('targets', dtype=theano.config.floatX)".
Can someone please tell me how to compute "beta" in Theano? Many thanks in
advance.
Feng
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