brainstorm 0.5

Fast, flexible and fun neural networks.

Documentation

The full documentation is at http://brainstorm.rtfd.org.

History

0.5 (2015-12-01)

Changed Behaviour

• examples now run on CPU by default
• added brainstorm.tools.shuffle_data and brainstorm.tools.split to help with data preparation
• SigmoidCE and SquaredDifference layers now outputs a loss for each dimension instead of summing over features.
• SquaredDifference layer does no longer scale by one half.
• Added a SquaredLoss layer that computes half the squared difference and has an interface that is compatible with the SigmoidCE and SigmoidCE layers.
• Output probabilities renamed to predictions in SigmoidCE and SigmoidCE layers.

New Features

• added a use_conv option to brainstorm.tools.create_net_from_spec
• added criterion option to brainstorm.hooks.EarlyStopper hook
• added brainstorm.tools.get_network_info function that returns information about the network as a string
• added brainstorm.tools.extract function that applies a network to some data and saves a set of requested buffers.
• brainstorm.layers.mask layer now supports masking individual features
• added brainstorm.hooks.StopAfterThresholdReached hook

Improvements

• EarlyStopper now works for any timescale and interval
• Recurrent, Lstm, Clockwork, and ClockworkLstm layers now accept inputs of arbitrary shape by implicitly flattening them.
• several fixes to make building the docs easier
• some performance improvements of NumpyHandler operations binarize_t and index_m_by_v
• sped up tests
• several improvements to installation scripts

Bugfixes

• fixed sqrt operation for PyCudaHandler. This should fix problems with BatchNormalization on GPU.
• fixed a bug for task_type=’regression’ in brainstorm.tools.get_in_out_layers and brainstorm.tools.create_net_from_spec
• removed defunct name argument from input layer
• fixed a crash when applying brainstorm.hooks.SaveBestNetwork to rolling_training loss
• various minor fixes of the brainstorm.hooks.BokehVisualizer
• fixed a problem with sum_t operation in brainstorm.handlers.PyCudaHandler
• fixed a blocksize problem in convolutional and pooling operations in brainstorm.handlers.PyCudaHandler

0.5b0 (2015-10-25)

• First release on PyPI.