Assertion: neural network's output unit | /r/CapableOf | compute displaystyle delta w_{h
Facets:
Source sentences:
text: initialize network weights (often small random values) do forEach training example named ex prediction = neural-net-output(network, ex) // forward pass actual = teacher-output(ex) compute error (prediction - actual) at the output units compute {displaystyle Delta w_{h}} for all weights from hidden layer to output layer // backward pass compute {displaystyle Delta w_{i}} for all weights from input layer to hidden layer // backward pass continued update network weights // input layer not modified by error estimate until all examples classified correctly or another stopping criterion satisfied return the network