=========
Reference
=========

.. automodule:: theanets
   :no-members:
   :no-inherited-members:

.. autosummary::
   :toctree: generated/

   theanets.activations.Activation
   theanets.activations.LGrelu
   theanets.activations.Maxout
   theanets.activations.Prelu
   theanets.activations.build
   theanets.feedforward.Autoencoder
   theanets.feedforward.Classifier
   theanets.feedforward.Regressor
   theanets.graph.Network
   theanets.layers.base.Concatenate
   theanets.layers.base.Flatten
   theanets.layers.base.Input
   theanets.layers.base.Layer
   theanets.layers.base.Product
   theanets.layers.base.Reshape
   theanets.layers.convolution.Conv1
   theanets.layers.feedforward.Classifier
   theanets.layers.feedforward.Feedforward
   theanets.layers.feedforward.Tied
   theanets.layers.recurrent.Bidirectional
   theanets.layers.recurrent.Clockwork
   theanets.layers.recurrent.GRU
   theanets.layers.recurrent.LSTM
   theanets.layers.recurrent.MRNN
   theanets.layers.recurrent.MUT1
   theanets.layers.recurrent.RNN
   theanets.layers.recurrent.RRNN
   theanets.layers.recurrent.SCRN
   theanets.losses.CrossEntropy
   theanets.losses.GaussianLogLikelihood
   theanets.losses.Hinge
   theanets.losses.KullbackLeiblerDivergence
   theanets.losses.Loss
   theanets.losses.MaximumMeanDiscrepancy
   theanets.losses.MeanAbsoluteError
   theanets.losses.MeanSquaredError
   theanets.recurrent.Autoencoder
   theanets.recurrent.Classifier
   theanets.recurrent.Regressor
   theanets.recurrent.Text
   theanets.recurrent.batches
   theanets.regularizers.BernoulliDropout
   theanets.regularizers.Contractive
   theanets.regularizers.GaussianNoise
   theanets.regularizers.HiddenL1
   theanets.regularizers.Regularizer
   theanets.regularizers.WeightL1
   theanets.regularizers.WeightL2
   theanets.trainer.DownhillTrainer
   theanets.trainer.SampleTrainer
   theanets.trainer.SupervisedPretrainer
   theanets.trainer.UnsupervisedPretrainer