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a ) Consider a neural network for regression, t = y ( w , x ) + v , where v is Gaussian, i .
a Consider a neural network for regression, where is Gaussian, ie and has a Gaussian priori, ie Assume that is the neural network output please derive the posterior distribution, the posterior predictive distribution, and the prior predictive distribution, where dots, is the training data set.
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