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I'd like to implement a recursive neural network as in [[Socher et al. 2011]](http://www.socher.org/index.php/Main/ParsingNaturalScenesAndNaturalLanguageWithRecursiveNeuralNetworks) in TensorFlow.
No…
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I am using the DCGAN code and pretty happy with the results. However, I am curious, should one not treat the Batch Normalization operation in a special way when doing inference (after training is comp…
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Moved from https://github.com/benanne/Lasagne/issues/133
skaae updated
8 years ago
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Current NMF example supports only mini-batch gradient descent. It will be better to provide standard gradient descent for users to choose more proper methods in their situations.
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Run the model (cifar_model_n5.npz) of the saved here file. I get the following results
> Loading data...
> Building model and compiling functions...
> number of parameters in model: 464154
> testing …
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There are two issues with `float LogisticRegressionImpl::predict(InputArray samples, OutputArray results, int) const` (in lr.cpp).
1) This function always returns 0 (there's a TODO at the bottom of t…
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Please let me know if this is best in the lasagna user group. It is a question(s) and not an issue.
I am trying to make sense of what is happening when using batch_iterator_train /test and a custom s…
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Some tests occasionally fail with the introduction of some of the faster gradient descent methods (maybe mini-batch and momentum have to be set per test to eliminate randomness).
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So I managed to train most models, but this one keeps producing with a Segmentation fault:
`13 net_stf7_fea6_150e20_02_50_dense4096_3pVal`
I started it with:
```
THEANO_FLAGS=device=gpu0,floatX=floa…
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With a large enough mini-batch size, parallelism can be exploited within the mini-batch of say 1 million signatures.
Hopefully this will converge in 1 iteration or less for excessively large datasets…