If a neural network with a single hidden layer uses dropout with a rate of 0.5, what fraction of neurons are turned off during each training step?
Question
If a neural network with a single hidden layer uses dropout with a rate of 0.5, what fraction of neurons are turned off during each training step?
Solution
In a neural network using dropout with a rate of 0.5, half of the neurons are turned off during each training step. This is because the dropout rate specifies the probability at which outputs of the layer are dropped out, or turned off. So, a dropout rate of 0.5 means there's a 50% chance any given neuron will be turned off during a training step. Therefore, on average, 50% or half of the neurons are turned off.
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