mlpractical/mlp
2016-11-09 19:51:33 +00:00
..
__init__.py Moving default seed to package level and adding author metadata. 2016-09-19 11:14:10 +01:00
data_providers.py Adding autoencoder wrapper data provider. 2016-11-03 18:28:41 +00:00
errors.py Applying softmax stability fix to cost gradient. 2016-10-20 13:23:19 +01:00
initialisers.py Fixing typo in initialiser assert. 2016-10-10 10:09:29 +01:00
layers.py Adding dropout and maxout layers to module. 2016-11-05 22:19:47 +00:00
learning_rules.py Adding adaptive learning rules. 2016-11-03 18:31:37 +00:00
models.py Adding stochastic layer functionality in preparation for dropout implementation. 2016-10-27 21:36:57 +01:00
optimisers.py Changing default optimiser behaviour to use non-stochastic evaluation for stochastic layers. 2016-11-09 19:51:33 +00:00
penalties.py Adding regularisation penalties module. 2016-11-03 18:28:57 +00:00
schedulers.py Adding time-dependent learning rule schedulers. 2016-11-03 18:31:59 +00:00