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Learning Bayesian Models with R by Dr. Hari M. Koduvely

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Bayesian treatment of neural networks

To set the neural network learning in a Bayesian context, consider the error function Bayesian treatment of neural networks for the regression case. It can be treated as a Gaussian noise term for observing the given dataset conditioned on the weights w. This is precisely the likelihood function that can be written as follows:

Bayesian treatment of neural networks

Here, Bayesian treatment of neural networks is the variance of the noise term given by and represents a probabilistic model. The regularization term can be considered ...

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