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Found 2 papers, 1 papers with code
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks
Dropout is a technique that silences the activity of units stochastically while training deep networks to reduce overfitting.
Deep learning improved by biological activation functions
`Biologically inspired' activation functions, such as the logistic sigmoid, have been instrumental in the historical advancement of machine learning.
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