|class||GlorotInitializationType< Uniform >|
|This class is used to initialize the weight matrix with the Glorot Initialization method. More...|
Artificial Neural Network.
|using||GlorotInitialization = GlorotInitializationType< false >|
|GlorotInitialization uses uniform distribution. More...|
|using||XavierInitialization = GlorotInitializationType< true >|
|XavierInitilization is the popular name for this method. More...|
Definition and implementation of the Glorot initialization method. This initialization rule initialize the weights to maintain activation variances and back-propagated gradients variance as one moves up or down the network.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file glorot_init.hpp.