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God I hate this new text format entry fields... not everything requires the same kind of "bug reporting form" layout (such as this).
But basically the reference files in Max (haven't checked other …
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STORN has two loss terms: Reconstruction loss and KL-divergence.
Could you please explain the reconstruction loss term:
**recon = torch.sum( x/recon_x - torch.log(x/recon_x) - 1 )**; where x is t…
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I'm hoping to adapt the DVAEs from here to another domain. But, I have a question about the loss terms. Take the SRNN for example. The reconstruction loss in the code is given by this:
`loss_recon …
QEDan updated
2 years ago
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#### Description
@GaelVaroquaux Maybe an online version of the NMF could be useful in big data settings.
#### Steps/Code to Reproduce
#### Expected Results
#### Actual Results
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This image is from your paper.
You said "Via simple integration, ...".
I did it by my…
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NMF in scikit-learn overview :
**Current implementation ([code](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/nmf.py)):**
- loss = squared (aka Frobenius norm)
…