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Results tagged with loss-functions
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user 114422
A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.
21
votes
2
answers
20k
views
Why binary crossentropy can be used as the loss function in autoencoders? [duplicate]
I was wondering why binary crossentropy can be used as the loss function in autoencoders trained on (normalized) images, e.g. here or this paper? I know that binary crossentropy can be used in binray …
- 816
11
votes
Accepted
Why binary crossentropy can be used as the loss function in autoencoders?
I thought a regression loss function such as mean squared error or
mean absolute error must be used instead, which have a value of zero
when labels and predictions are the same.
That's exactly the m …
- 816