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Results tagged with autoencoders
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user 114422
Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.
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? …
- 1,099
11
votes
Accepted
Why binary crossentropy can be used as the loss function in autoencoders?
That's simply wrong since in most of the machine learning models (including autoencoders) we are trying to minimize a loss/cost function. …
- 1,099