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#115 – Dileep George: Brain-Inspired AI

Lex Fridman Podcast

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Exploring Competing Models in Probabilistic Graphical Structures

This chapter explores the complexities of neural networks and probabilistic graphical models as competing probabilistic models in machine learning. It highlights how these models function, focusing on neural networks for function approximation and the inference processes in graphical models, illustrated with real-life examples.

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