aigamedev
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scikit-neuralnetwork
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regularize
- 0.1
- ELU
- RNN
- adagrad
- autoencoder
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- callback
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- conv
- cost
- deepy
- digits
- fix_83
- init
- lasagne
- logging
- loss
- master
- memmap
- monkeypatch
- multi-label
- mutator
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- native
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- power
- pretrain
- profile
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- sklearn
- sparse
- testing
- theano
- threads
- training
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Recent builds
| Builds | Branch | Commit | Type | Ran | Committer | Via | Coverage |
|---|---|---|---|---|---|---|---|
| 285 | regularize | Tweaked the readme and added regularization to the plot_mlp.py example. | push |  alexjc |
travis-ci | pending completion | |
| 283 | regularize | Fixed regularisation with sumofcosts | push |  ssamot |
travis-ci | pending completion | |
| 279 | regularize | Fix for the tests for sklearn-compatible interface. No longer setting weight_decay and dropout_rate as defaults if they are not specified. | push | alexjc |
travis-ci | pending completion |