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Discover Ludwig"cross entropy" is correct and usable in written English.
You can use it when describing a mathematical concept or the associated machine learning technique. For example, "The cross entropy method proved to be an effective optimization technique for our neural network model."
Exact(25)
cross entropy.
(iv) Cross Entropy (CE).
development, C nxe normalized cross entropy cost.
where o is the softmax cross entropy of output network v: o=softmax v) (4).
The classical backpropagation is adopted to minimize the cross entropy error between outputs and targets.
This minimization is usually carried out by minimizing the cross entropy using conjugate gradients.
Similar(34)
Entropy and cross-entropy convergence are proved.
DNN: cross-entropy training DNN-HMM.
Also Kaldi-RNNLM architecture improves cross-entropy objective function to train unnormalized probabilities.
It states that the softmax activation function should couple with the cross-entropy penalty function.
DNN acoustic model training typically begins with frame-wise minimization of cross-entropy criterion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com