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Stephen Welch
December 5, 2014

Neural Networks Demystified, Part 4: Backpropagation

Stephen Welch
December 5, 2014

Backpropagation as simple as possible, but no simpler. Perhaps the most misunderstood part of neural networks, Backpropagation of errors is the key step that allows ANNs to learn. In this video, I give the derivation and thought processes behind backpropagation using high school level calculus. 


Supporting Code and Equations 

Newer PostNeural Networks Demystified, Part 5: Numerical Gradient Checking
Older PostNeural Networks Demystified, Part 3: Gradient Descent

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