Class and Description |
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
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Class and Description |
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Dropout
Implements standard (inverted) dropout.
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Class and Description |
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
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Class and Description |
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
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Class and Description |
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
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Class and Description |
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AlphaDropout
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. |
Dropout
Implements standard (inverted) dropout.
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GaussianDropout
Gaussian dropout.
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
|
Class and Description |
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IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
|
Class and Description |
---|
IDropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
|
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