Dropout in (Deep) Machine learning

According to Wikipedia
The term “dropout” refers to dropping out units (both hidden and visible) in a neural network.

Dropout — Revisited

Srivastava, Nitish, et al. ”Dropout: a simple way to prevent neural networks from
overfitting”, JMLR 2014

Some Observations:

Experiment in Keras

Accuracy vs Dropout (Left) and Loss vs Dropout

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