Derive the gradient descent training rule assuming for the target function od = Wo + WIXI...

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Derive the gradient descent training rule assuming for the target function od = Wo + WIXI + ... + Wnxn. Define explicitly the squared cost/error function E, assuming that a set of training examples D is provided, where each training example de D is associated with the target output ta. Derive the gradient descent training rule assuming for the target function od = Wo + WIXI + ... + Wnxn. Define explicitly the squared cost/error function E, assuming that a set of training examples D is provided, where each training example de D is associated with the target output ta.

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The task is to derive the gradient descent training rule for a target function that is of the form o... View the full answer