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Classes | |
class | GlorotInitializationType< Uniform > |
This class is used to initialize the weight matrix with the Glorot Initialization method. More... | |
Namespaces | |
mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
mlpack::ann | |
Artificial Neural Network. | |
Typedefs | |
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.