The most common form of neural network dropout randomly selects half of a neural network's hidden nodes, at each training iteration, and programmatically drops them -- it's as if the nodes do not ...

First, each base gradient is computed as the product of the associated output node signal and the associated input, which is a hidden node value. Then, if the Boolean L2 flag parameter is true, an ...