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Hello there!
I'm trying your (needless to say) awesome, codebase, and i wonder just 2 things :
- Why omitting the batch norm layer at the end in your models? it seems you put batch normalization bef…
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@viorik I was able to install the package (added installation instructions to the Wiki) and I am now trying to test it on a simple example, which is an adaptation of this example:
https://github.com/t…
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Hi Guys,
I was trying out a toy example using autoencoders in Keras. I have a input which has 10000 examples of size 174. I want to run the case where there is one sparse hidden layer is also of dime…
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I just had a look at caret and made a list of learners, which have not yet been integrated into mlr (at least as far as I know).
``` r
Package Function …
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We should implement some commonly used regularizers (L1, L2, sparsity penalties on the activations as in sparse autoencoders, ...).
How should we do this? The `nntools.regularization` module I includ…
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Hi,
I tried to build the R-modular interface but make failed
> [100%] [100%] Building CXX object src/interfaces/r_modular/CMakeFiles/r_modular.dir/sg_print_functions.cpp.o
> Building CXX object src…
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Linking CXX executable ../../../../bin/adaboost
../../../../lib/libmlpack.so.1.0: undefined reference to 'wrapper_dnrm2_'
../../../../lib/libmlpack.so.1.0: undefined reference to 'wrapper_dasum_'
coll…
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This seems like an interesting, simple trick to initialise RNNs with ReLU units: http://arxiv.org/abs/1504.00941 Is there a simple way of doing this in theanets? Thanks.
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**Reported by siddharth 950 on 15 Dec 44278134 12:52 UTC**
I have written a new Sparse Autoencoder module. Right now it has the basic necessities for it to run, there are a lot of tweaks that can be a…
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