-
The paper states that WGAN-GP increases the training stability so I am curious what other loss and normalization techniques you have tried.
I am trying to add spectral normalization suggested by th…
-
Dear Deepminder:
For generative adversarial network, there introduces a normalization called spectrum normalization (ref: https://arxiv.org/abs/1802.05957).
However I find according to the knowl…
-
_The problem:_ If we implement the mixture model feature, we will probably need to use _flux-calibrated_ model spectra; in other words, the non-normalized spectra natively produced by the model grid (…
gully updated
7 years ago
-
Errors may have originated from an input operation.
Input Source operations connected to node model/spectral_normalization_1/conv2d_1/Conv2D:
model/up_sampling2d/resize/ResizeNearestNeighbor (defin…
-
Hi,
I'm using recently-released PyTorch 0.4 (not sure if that's causing the funky numbers I'm getting), but I'm getting the following (with `python main.py --model resnet --loss wasserstein`):
`…
-
Hello,
I have followed you impressive pipeline (which I understood is within QC) successfully, but I wanted to move further into the multivariate side of metabolomics for actual interpretation.
Cou…
-
Hi there,
since I've some experiences in this field (audio delossify/upscale) I'd like to share what I have learned:
- During a lossy audio treating, the best approach is to carefully decode and pr…
-
### Describe new/missing feature
Hello! I come from the machine learning side of nonlinear solving, and I've been using the default NewtonSolver for some hyperelasticity problems. I was wondering if …
-
The normalization of the global covariance is described by a free parameter `logAmp` (the actual normalization is `(10**logAmp)**2`). But if such normalization is much higher than the median value of …
-
### Issue with current documentation:
Related to GitHub issue #15033 .
Scipy warns
> For type in {1, 2, 3}, norm="ortho" breaks the direct correspondence with the direct Fourier transform. To r…