Question: Consider the following MLNN architecture to classify data samples into classes 1 or 2 . We pass data sample Xn from Class 2 through this

Consider the following MLNN architecture to classify data samples into classes 1 or 2. We pass data sample Xn from Class 2 through this network. When calculating the local gradient at output node o1, what must you use for the desired label d1?

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