Lasagne
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Lasagne
Lightweight library to build and train neural networks in Theano
```zsh $ curl -L -v http://www.ark.cs.cmu.edu/cdyer/adagrad.pdf * Trying 128.2.42.94:80... * Connected to www.ark.cs.cmu.edu (128.2.42.94) port 80 (#0) > GET /cdyer/adagrad.pdf HTTP/1.1 > Host: www.ark.cs.cmu.edu > User-Agent: curl/7.77.0 > Accept: */*...
Hello, While testing on Debian unstable, the `test_helper.py` has failed with an error related to Mock when applied to MergeLayer. I have been trying to fix it but I do...
Can center loss be added as an objective function in Lasagne? It would help the network in learning highly discriminating features. Link to a relevant paper : https://ydwen.github.io/papers/WenECCV16.pdf
What are your plans now that theano is going to be discontinued? We, the pymc3 devs, have discussed all kinds of options. One of them is taking over theano maintenance...
YellowFin is a novel method for tuning momentum hyperparameters (learning rate & momentum). It blends the nice sides of momentum SGD (convergence properties) and Adam and similar (automatic tuning of...
When passing a two-dimensional input layer to LSTMLayer, it will break with an uninterpretable error message: ``` >>> lasagne.layers.LSTMLayer((10, 20), 30) [...] TypeError: 'numpy.float64' object cannot be interpreted as an...
First off, this is not a usage question. This is, I believe, a bug report. I got this issue using any 2D convolutional network with channel depth 1. Any higher...
The following code shows a LocallyConnected2DLayer with W initialized using HeNormal(1.0) give a 1/(width*height)**0.5 result std than Conv2DLayer with the same initialization. ``` import numpy as np import theano import...
I've been working a bit on Bayesian Neural Networks in PyMC3 (here is the blog post: http://twiecki.github.io/blog/2016/06/01/bayesian-deep-learning/). I wonder if it would be possible to use Lasagne for construction of...
It seems like semantic segmentation is becoming a popular task, so there are quite a few questions on the mailing list lately about doing per-pixel classification. This currently requires some...
