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I use this net to train:
elseif networkType == 31
%% target
conv1 = dagnn.Conv('size', [5 5 3 32],'pad', 2, 'stride', 1, 'dilate', 1, 'hasBias', true) ;
net.addLayer('conv1', conv1, {'…
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Update the following URL to point to the GitHub repository of
the package you wish to submit to _Bioconductor_
- Repository: https://github.com/fosterlab/PrInCE
Confirm the following by editing…
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Hello,
Is there any example on how to implement a neural network using tensorflow plus a final 'layer' implementing a GP process. Something similar to the architecture presented in: "Adversarial Ex…
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In my use-case of full batch L-BFGS, I'm often running into issues where the line search is is failing. But at the same time I don't want to make the max_ls too large or else the optimizer spends a lo…
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There is already `@Citation` annotation created for `BEASTObject`, to link the publication to the model and implementation.
I created `PackageCitations` to pull out all citations from installed pac…
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#### Issue Description
In developing a custom loss function based on Bishop's mixture density networks (http://publications.aston.ac.uk/373/1/NCRG_94_004.pdf), I ran across a problem during testing…
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Hi all,
I am having a very hard time trying to understand how do we compute the gradient of the entropy with respect to the actor parameters in continuous action domains. This gradient is added to …
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Hi,
I discussed with Romain (and other people) at the Single Cell Genomics conference whether it is possible to create a factor analysis version of scVI. The idea would be to let the variational in…
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[LeCun et al., 1998, "Efficient backprop"](https://link.springer.com/chapter/10.1007/3-540-49430-8_2) gives many tips and tricks for good neural networks.
For instance, some people on SO say that R…