Description Details Slots Author(s) See Also
This class represents a model created, and/or configured, and/or trained with
the darch
function.
It implements deep architectures and provides the ability to train
them with a pre training using contrastive divergence and fine tuning with
backpropagation, resilient backpropagation and conjugate gradients.
The class inherits all attributes from the class Net
.
User-relevant slots include stats
(training statistics), epochs
(numer of epoch this model was trained for), and parameters
(all
parameters passed to darch
as well as internal parameters).
rbmList
A list which contains all RBMs for the pre-training.
layers
A list with the layer information. In the first field are the weights and in the second field is the unit function.
cancel
Boolean value which indicates if the network training is canceled.
cancelMessage
The message when the execution is canceled.
dropoutMasks
List of dropout masks, used internally.
dataSet
DataSet instance.
Martin Drees
Other darch classes: DataSet-class
,
Net-class
, RBM-class
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