Uses of Package
org.deeplearning4j.nn.conf.dropout

IDropout instances operate on an activations array, modifying or dropping values at training time only.

Implements standard (inverted) dropout.

IDropout instances operate on an activations array, modifying or dropping values at training time only.

IDropout instances operate on an activations array, modifying or dropping values at training time only.

IDropout instances operate on an activations array, modifying or dropping values at training time only.

AlphaDropout is a dropout technique proposed by Klaumbauer et al. 2017 - Self-Normalizing Neural Networks https://arxiv.org/abs/1706.02515

This dropout technique was designed specifically for self-normalizing neural networks - i.e., networks using ActivationSELU / Activation.SELU activation function, combined with the N(0,stdev=1/sqrt(fanIn)) "SNN" weight initialization, WeightInit.NORMAL

In conjuction with the aforementioned activation function and weight initialization, AlphaDropout attempts to keep both the mean and variance of the post-dropout activations to the same (in expectation) as before alpha dropout was applied.

Gaussian dropout.

IDropout instances operate on an activations array, modifying or dropping values at training time only.

IDropout instances operate on an activations array, modifying or dropping values at training time only.