Backpropagation | Brilliant Math & Science Wiki
Backpropagation, short for "backward propagation of errors," is an algorithm for supervised learning of artificial neural networks using gradient descent. Given an artificial neural network and an error function, the method calculates the gradient of the error function with respect to the neural network's weights. It is a generalization of the delta rule for perceptrons to multilayer feedforward neural networks. The "backwards" part of the name stems from the fact that calculation …
Backpropagation | Brilliant Math & Science Wiki Home Courses Sign up Log in The best way to learn math and computer science. Log in with Google Log in with Facebook Log in with email Join using Google Join using email Reset password New user? Sign up Existing user? Log in Sign up with Facebook or Sign up manually Already have an account? Log in here. John McGonagle , Aaron Miller , George Shaikouski , and 3 others Christopher Williams Andrew Hsu Jimin Khim contributed Backpropagation , short for "backward propagation of errors," is an algorithm for supervised learning of artificial neural netw
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