Question: Consider a three layer neural network with one output unit, 10 hidden units at each hidden layer, and a five dimensional augmented feature vector as

Consider a three layer neural network with one output unit, 10 hidden units at each hidden layer, and a five dimensional augmented feature vector as inputs. Write down the general expression on the derivative of the error function with respect to a weight using back error propagation (i.e., gradient decent).

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