Change History
==============

0.2 - 2013-03-03
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- Add parameters `learn_rate_decays` and `learn_rate_minimums`, which
  allow for decreasing the learning after each epoch of fine-tuning.

- Allow `-1` as the value of the input and output layers of the neural
  network.  The shapes of `X` and `y` will then be used to determine
  those.

- Add support for processing sparse input data matrices.

- Improve miserable performance of `DBN.predict_proba`.

0.2b1 - 2012-12-30
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- Added a scikit-learn estimator based on George Dahl's `gdbn` in
  `nolearn.dbn`.
