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BackpropagationThe most common method of training an artificial neural network. A training set, consisting of examples of input data for which the output is known, is presented to the network, and the network weight [..]
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BackpropagationAlso, backprop. An algorithm for iteratively adjusting the weights used in a neural network system. Backpropagation is often used to implement gradient descent. See also neural network, gradient desce [..]
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BackpropagationBackpropagation is an algorithm to efficiently calculate the gradients in a Neural Network, or more generally, a feedforward computational graph. It boils down to applying the chain rule of differenti [..]
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