aigamedev
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scikit-neuralnetwork
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cost
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- ELU
- RNN
- adagrad
- autoencoder
- backend
- batch-size
- batchnorm
- callback
- color
- conv
- deepy
- digits
- fix_83
- init
- lasagne
- logging
- loss
- master
- memmap
- monkeypatch
- multi-label
- mutator
- nan
- native
- outconv
- outshp
- pandas
- params
- perf
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- power
- pretrain
- profile
- regularize
- serialization
- sklearn
- sparse
- testing
- theano
- threads
- training
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Source Files on cost
Recent builds
| Builds | Branch | Commit | Type | Ran | Committer | Via | Coverage |
|---|---|---|---|---|---|---|---|
| 546 | cost | Updates to the documentation now also include callbacks. | push |  alexjc |
travis-ci | pending completion | |
| 545 | cost | Documentation for the per-sample weighting or dataset masking feature. | push | alexjc |
travis-ci | pending completion | |
| 542 | cost | Test was too strict to succeed deterministically. | push | alexjc |
travis-ci | pending completion | |
| 540 | cost | Using vector for mask weights if they are set, otherwise a scalar that becomes 1.0. Simplifies the code. | push | alexjc |
travis-ci | pending completion |