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Key terms: network used error output layer backpropagation each neuron weights function algorithm gradient pass nodes delta input calculate sample neural network backward multilayer learning hidden layer local error desired output activation function artificial neural implementation of backpropagation explanation of the backpropagation algorithm Search external links cited by footnotes on Wikipedia page Backpropagation: |
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