Statistical Interpretation of Artificial Neural Networks

In course

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Description

This lecture focuses on the statistical interpretation of artificial neural networks, deriving the cross-entropy error function in the context of the likelihood of data under a neural network model. It covers the generation of predicted labels, the likelihood of input-output pairs, and the maximum likelihood for neural networks by minimizing the negative log-likelihood.

Instructors (2)

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