Issues
- 0
Proposing a PR to fix a few small typos
#136 opened by timgates42 - 0
xor example not working
#135 opened by chriscamacho - 0
Problem: Cannot pass theano.shared to .itertrain()
#134 opened by Philipp777 - 2
Error in Quick Start: Recurrent Models
#133 opened by saddy001 - 2
- 2
Problem with reproducibility for release 0.6.2
#102 opened by tlikhomanenko - 1
- 4
- 0
- 1
New loss function: ROC AUC score
#129 opened by saddy001 - 3
Problem saving a network with compound activations
#116 opened by juliettema - 5
- 3
autoencoder stop training
#130 opened by Duanexiao - 0
use shape information in layers where possible
#126 opened by lmjohns3 - 1
UnsupervisedPretrainer broken
#128 opened by droid666 - 1
Is there any way to get feedback during training?
#127 opened by gtzo - 7
The current clockwork RNN implementation
#125 opened by ypxie - 0
for clockwork RNN
#124 opened by ypxie - 1
After finishing training, get the number of iterations
#122 opened by SadatAnwar - 1
Hidden_l1 problem
#121 opened by jamona - 1
add "bayesian rnn" implementation
#120 opened by lmjohns3 - 0
- 0
memory leaks when calling predict() and load()
#118 opened by lmjohns3 - 1
- 2
- 2
'SGD' object has no attribute 'iterate'
#113 opened by pannous - 6
RNN not converging
#108 opened by joetigger - 7
- 3
- 5
- 1
- 1
- 0
new feature request: Allow theanets.recurrent.batches(...) to accept a pandas dataframe
#101 opened by kzk2000 - 1
does theanets support gradient of subtensor?
#104 opened by fedorajzf - 1
Any plans for supporting multi dimensional RNN?
#105 opened by ypxie - 1
Classification with two classes
#106 opened by fordanic - 1
Bug in MUT1
#109 opened by joetigger - 0
add model-wide rng parameter
#110 opened by lmjohns3 - 1
Model-rng only for Regressor
#112 opened by talpay - 1
RNN not able to predict using existing state
#111 opened by joetigger - 6
- 1
Layerwise GPU memory use
#98 opened by abramhindle - 3
- 4
Perilous pretraining, poorly named outputs causing key errors? 'pretrain' issue.
#92 opened by abramhindle - 2
Can't deserialize Regressor networks: AttributeError: 'Regressor' object has no attribute '_functions' as of 33775e7c96
#91 opened by abramhindle - 7
Using theanets with ipython notebook
#90 opened by spudzee - 2
- 3
- 1
specifying layers -- output layer
#82 opened by XuesongYang - 3
Why do I get this error message? IndexError: index 4 is out of bounds for axis 1 with size 4
#83 opened by gribeiro2004