theanets: Version 0.5.0 Article Swipe
YOU?
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· 2015
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.15010
· OA: W1020246339
Version 0.5.0 of theanets is now live! pip install -U theanets http://pypi.python.org/pypi/theanets http://theanets.readthedocs.org http://github.com/lmjohns3/theanets Some great new features have been incorporated into this release, but the biggest one is that Layers have been refactored into first-class citizens. It's much easier to specify model layers, and many different types of recurrent layers are now available. http://theanets.readthedocs.org/en/stable/creating.html#specifying-layers I've also tried to improve the speed of the models and trainers, and I have some ideas that I'll be incorporating into future releases in this area. I've tried to get the documentation into better shape. It still needs some work, but it's a bit better than it has been. This release also includes code from 4 first-time contributors! Please note that this version makes several backwards-incompatible changes that I think will be a net improvement, at the cost of potentially breaking some of your existing training scripts. Most notably: The code relies on a new release of the climate package. Be sure to install using "pip install -U theanets" to get the most recent dependencies. The Experiment.itertrain() method now generates <em>two</em> dictionaries of monitor values: one for training, and one for validation. http://theanets.readthedocs.org/en/stable/training.html#training-as-iteration A Network now has a find() method for retrieving shared variables (e.g., weight matrices); the get_weights() method has been removed. Trainer.train() has been renamed Trainer.itertrain(), and the SGD-based trainers have been refactored a bit, so now there is no longer an SGD.train_minibatch() method. I hope the library will be really useful! Please file bugs, post on the mailing list, etc. as you run into questions or issues.
